Material Waste Research Articles

Application of integrated entropy-COPRAS and ANN approaches for maximizing wire EDM machinability attributes of Al6082-T6/GNP/TiB2 composites

Wire Electrical Discharge Machining (WEDM) utilizes electrical sparks to cut conductive materials precisely. It employs a thin, electrically charged wire to erode the material, creating complex shapes with high accuracy, tight tolerance, and minimal material waste. The current study investigates the effect of WEDM process parameters on the various output properties of machining a hybrid Aluminium metal matrix nanocomposite (HAMMNC). A series of experiments were conducted on a composite constructed using Taguchi’s standard L18 Orthogonal Array (OA) design. The acquired responses of Material-Removal-Rate (MRR), Surface-Roughness (SR), and Kerf-Width (KfW) were optimized using integrated Entropy-COPRAS and artificial neural network (ANN) algorithms respectively. The relative significance ( Qi )values obtained for the alternatives are analyzed with the Taguchi method. The outcomes showed that the optimal setting of WEDM process variables is achieved at Servo Voltage: high volts; Pulse-on-time: 60 μs; Pulse-off-time: 16 μs; Peak Current: 6 Amp; Variable frequency: 18 Hz; Speed: 50 RPM; Sim Speed: 30 RPM respectively. The models developed from ANN were adequate and accurate from the results of error histogram and regression plots and they are best suited for the prophecy of future responses. The surface morphology studies confirmed the appearance of pockmarks, voids, and globules of debris on the Wire EDMed surfaces.

Redesign The Layout of Production Facilities at a Garment Company Using the BLOCPLAN Method to Optimize Material Handling

Facility layout design is crucial in production layout setups. The composition of facilities that corresponds to the flow of materials between departments will help to ensure the production system's continuity. PT. KMC is a garment company in West Jakarta that manufactures shirts, dresses, and t-shirt bloats. The company's current layout facilities have not run optimally. This is because inefficient movement distances result in wasted material handling costs, and crossing production flows between departments cause production processes to be disturbed. The objective of this project is to rethink facility layouts using the BLOCPLAN approach in order to optimize material handling. The BLOCPLAN approach may examine layout performance and generate new layout ideas for efficient material handling. The discussion is limited because this research was only conducted on one company. Based on the results of the layout redesign using the BLOCPLAN approach, various improvements were obtained, including a 37.12% increase in material handling cost efficiency. The proposed layout with the BLOCPLAN method is able to provide a reduction in material transfer distance of 22.6 meters and a material handling cost of Rp 155,346 when compared to the initial layout, which had a total overall displacement distance of 35.8 meters and an initial layout material handling cost of Rp 247,059, making it much cheaper.

Analisis Volume dan Biaya pada Proyek Pembangunan Rumah Tinggal Berbasis BIM 5D (Studi Kasus Proyek Pembangunan Rumah Tinggal 3 Lantai Tipe 130 di Kota Balikpapan)

The development of information and communication technology in the construction industry has significantly advanced in recent years. One of the latest innovations is Building Information Modeling (BIM). This research compares the volume and cost of structural work between the BIM 5D concept and the consultant's results for a 3-storey residential building in Karang Rejo, Central Balikpapan. Using Autodesk Revit, 2D drawings from the consultant were transformed into 3D models. The consultant calculated the concrete volume at 45.26 m³, whereas Autodesk Revit showed 39.34 m³, a difference of 5.92 m³ or 13.08%. For reinforcement work, the consultant's volume was 7,047.95 kg, while Autodesk Revit calculated it at 6,076.28 kg, showing a difference of 971.67 kg or 13.79%. The cost of concrete work was Rp 67,954,242.07 according to the consultant, while Autodesk Revit showed Rp 59,096,016.16, a difference of Rp 8,858,225.91 or 13.04%. The cost of reinforcement work was Rp 125,881,320.57 according to the consultant, while Autodesk Revit calculated it at Rp 108,521,878.90, with a difference of Rp 17,359,441.67 or 13.79%. Using the BIM 3D concept with Autodesk Revit provides more detailed material takeoff results, reduces material waste, and supports the BIM 5D concept for more accurate cost estimation.

Cyclability Improvement of Recycled Graphite Materials in Lithium-Ion Batteries Via Conductive Polymer Coating

In recent years, lithium-ion batteries have been widely adopted in electric vehicles and electronics. However, the growing number of retired lithium-ion batteries poses a significant environmental challenge, generating substantial material waste and potential pollution. In most commercial batteries, graphite is the prevalent choice for anode material, owing to its high electrical conductivity and mechanical stability. Therefore, recycling graphite from spent lithium-ion batteries is a potential solution to eliminate the waste and meet the increasing demand.While considerable attention has been directed toward recovering metallic components of the spent lithium-ion batteries, limited effort has been dedicated to recycling graphite. Some previously developed methods include the pyrometallurgy process and hydrometallurgy process. However, due to high energy consumption and environmental pollutions, these methods have not been applied in large scales. Additionally, graphite particles have experienced various aging mechanisms during charge and discharge cycles, such as the formation of a solid electrolyte interface (SEI) and the intercalation of solvent molecules, potentially leading to structural alterations and degradation. Hence, it is advisable to implement surface treatment to enhance capacity stability if the recycled graphite does not perform optimally following the recovery treatment.In this study, we developed a simple process to recycle spent graphite utilizing aqueous and organic wash with N-Methylpyrrolidone (NMP) and toluene, followed by surface coating with the conductive polymer poly(9,9-dioctylfluorene-co-fluorenone-co-methylbenzoic ester) (PFM). The surface coating served as a protective layer of graphite particles and a charge transport agent to enhance conductivity. The morphologies and structures of the pristine, recycled, and PFM-coated recycled graphite samples were measured by X-ray diffraction (XRD) and scanning electron microscope (SEM) analysis.To investigate the impact of employing PFM as a binder, electrochemical tests were done using anodes with both recycled graphite and PFM-coated recycled graphite. In recycled-graphite||NMC532 full cell testing, cells with PFM-coated recycled graphite exhibits higher coulombic efficiency (>99.90%) than cells without PFM coating at a rate of 0.33 C. A capacity retention of 77.49% was achieved for PFM-coated cells after 300 cycles, whereas the ones without coating have a capacity retention of 70.21% in average. Rate tests were also conducted on both the cells with and without PFM-coating. It shows that both types of cells support high-rate cycling. About 85% of charge capacity was delivered for cycling at 1 C for both cells with and without PFM-coating.Overall, the recycling method can be easily operated with minimal waste production, low energy consumption, and low economical costs. The PFM coating on the recycled graphite particles leads to enhancement of mechanical strength and efficiency in battery cycling.Fig. A, The process scheme of recycling graphite; B, Pictures of an electrode from spent lithium-ion batteries (left) and an electrode fabricated with recycled graphite (right); C, Capacity retention of recycled graphite without PFM coating (blue) and with PFM coating (green); D, Coulombic Efficiency of recycled graphite without PFM coating (blue) and with PFM coating (green). Figure 1

Fabrication of organic thin films using slit nozzle with a wide viscosity spectrum

A slit nozzle with a broad viscosity spectrum is highly demanded for slit coating of various materials with different viscosities without a compromise on the film quality. To this end, we have fabricated a multi-cavity slit nozzle with the inlet and vent holes for each cavity. Compared with a slit nozzle with a high-volume single cavity, such a multi-cavity slit nozzle further reduces the dead volume and thus material waste. As a design parameter in computational fluid dynamics (CFD) simulations for the multi-cavity slit nozzles, we have calculated the coefficient of variation in the internal pressure (Pcv) of the cavity and investigated the correlation between the simulated Pcv value and the measured thickness uniformity of low-viscosity (tens of cPs) poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), medium-viscosity (5000 cPs) polydimethylsiloxane (PDMS), and high-viscosity (18,000 cPs) hard-PDMS films. It is addressed that the Pcv value that can ensure the thickness non-uniformity of less than 5 % is of the order of 1 %, and the internal pressure of the nozzle should not exceed a specific upper limit to protect a coating system against overload. Based on the design guideline provided, we have found that the upper limit of the viscosity spectrum of the triple-cavity slit nozzle with the 800-μm-thick shim is 79,000 cPs when the flow rate is 50 ml/min. Using the multi-cavity slit nozzle, we have fabricated a highly uniform PDMS film exhibiting the tensile strain as high as 180 %, which can be used as a substrate for stretchable displays. Furthermore, we have successfully fabricated flexible OLED stripes on the slit-coated conductive PEDOT:PSS stripes, showing the average luminance of 72.8 cd/m2 at 5 V and inter-stripe luminance non-uniformity as low as 8.2 %.

Pengaruh Penambahan Cacahan Limbah Plastik HDPE (High Density Polyethylene) Sebagai Bahan Tambah Campuran Laston AC-WC (Asphalt Concrete-Wearing Course) Terhadap Karakteristik Marshall

In increase quality vulnerable roads in Indonesia damaged Because influenced by weather, water, load vehicle excess, and construction insufficient pavement​ fulfil requirements, required material add as much as you can increase strength and help repair construction road asphalt the Utilization material waste plastic in construction pavement become good alternative​ in in increase quality pavement road. Objective study This is For know How influence addition waste plastic type High Density Polyethylene (HDPE) against Marshall Laston AC-WC characteristics with variation rate HDPE plastic at 0%, 2%, 4%, and 6%. Marshall characteristics reviewed is mark density (density), VIM (void in mix), VMA (void mineral aggregate), VFA (void filled with asp halt), melting (flow), and stability. Method research used​ with method experiments in the laboratory and refers to Specification General Highways​ 2018. Research results shows the Marshall test on the mixture Laston AC-WC with addition rate HDPE plastic 0%, 2%, 4%, and 6% can be raise mark density (density), stability , VFA ( Void Filled with Asphalt), whereas For VIM (void in mix), VMA (Void Mineral Aggregate) and melt (flow) values experienced decline . Marshall parameter values obtained​​ fulfil standard Specification General Highways​ 2018. Percentage​ rate optimum asphalt (KAO) obtained is 6.0%, Marshall test of variation material plus waste plastic best value​ For density, melting (flow), stability, VIM , VMA, and VFA, namely at levels waste plastic 2%.

Recent Advancements on Slot-Die Coating of Perovskite Solar Cells: The Lab-to-Fab Optimisation Process

Perovskite solar cells (PSCs) are the most rapidly advancing photovoltaic technology in terms of power conversion efficiency. An efficiency of 26.1% was achieved in a decade, which is on par with the efficiency of very mature silicon panels. However, PSC commercialisation is partly hindered by the difficulty of scaling these devices without efficiency loss, mostly due to the increasing sheet resistance of the transparent conductive layer substrates and the nonuniformity of the layers when deposited across large areas. Therefore, it is crucial for the commercialisation of PSCs to implement easily scalable deposition processes with low material waste and compatibility with roll-to-roll (R2R) processes to reduce manufacturing costs. Slot-die coating can meet all these requirements, allowing for great uniformity over large areas. The most recent developments in PSC upscaling using slot-die coating as the main deposition process, along with its extension to the R2R process, are reviewed, including a thorough discussion of the slot-die coating process and the theory behind its operating limits. In fact, R2R coating is a very promising strategy for PSC industrialisation, since all processing steps use low-cost materials and scalable processes at temperatures lower than 120 °C, allowing the cost-effective and high-throughput production of PSC devices.

Reabilitação oral utilizando coroas impressas em 3D para amelogênese imperfeita: relato de caso

Amelogenesis imperfecta (AI) is a condition that severely affects tooth enamel. In most cases aesthetics and function are compromised while solutions are scarce and have high cost. The purpose of this case report is to describe a rehabilitation case of a 13-year-old male patient diagnosed with amelogenesis imperfecta. A minimally invasive oral rehabilitation was planned using digital workflow for planning, 3D printing of crowns and S-PRG fillers as an aesthetic and functional solution, with lower cost, in the face of the AI case presented. Case report: 13-year-old male with pain, sensitivity, and aesthetics complaints, the patient has been diagnosed with Amelogenesis Imperfecta Hypomaturation-Hypoplastic, Type IV (AIHHT – OMIM: 104510). Treatment was divided into three phases, preventive and sensitivity management, minimally invasive oral rehabilitation – CAD-CAM and orthodontic treatment. It is possible to conclude that digital flow and 3D printing have many benefits for dentistry such as treatment predictability, chairside and lower material waste, cost and working time. It can also be concluded that digital dentistry allows oral rehabilitation following minimal intervention principles and that it was a successful treatment with aesthetic, function and quality of life improvements.

The impact of sustainable design and construction upon FM: four case studies

Purpose This paper aims to analyze the impact of sustainability measures taken during the design and construction phases, by examining two categories of sustainability: energy efficiency and reducing carbon emissions and material selection and waste management. These aspects are examined from the perspectives of long-term building performance and maintenance practices, as well as user/tenant satisfaction. Design/methodology/approach This study includes a literature review related to the two topics under consideration, followed by a comparative case study analysis of four projects to determine practical validity. All case studies in this paper used a semi-structured survey with various project stakeholders, which helped the authors identify measures taken as well as obstacles and challenges during the process. Findings According to the four case studies, adequate attention should be paid to the two areas of interest during a project’s design and construction phases. Including case studies from around the world (four case studies from three different countries) offers insights into effective sustainability practices in building design and construction, providing instances of successful implementation and emphasizing the obstacles and potential when incorporating sustainability into the design and construction phases. Research limitations/implications The findings also show that design and construction participants and companies should reduce waste generation and carbon emissions. In addition, they should make decisions on material selection to enhance projects’ sustainability and to contribute to creating a habitable planet for the future. Originality/value The influence of the design and construction phases on long-term project sustainability is of major importance and concern to users, owners, designers, contractors and facility managers. This study illustrates the necessity of including sustainability measures in the design and construction phases, highlighting the importance of sustainability in building design and construction through effective implementation techniques and interdisciplinary teamwork to realize sustainable goals.

Role of an in-house designed crucible in the fabrication of isotopically enriched 28Si target for an in-beam γ-ray spectroscopy experiment.

In the present work, an in-house designed special crucible was developed to fabricate isotopically enriched 28Si targets for a γ-ray spectroscopy experiment. Initially, the crucible was tested with natural Si and then utilized to fabricate isotopically enriched 28Si targets of thickness ∼500 μg/cm2 (∼2.15 μm). The fabricated targets were uniform in thickness and had very little contamination. In addition, one of the fabricated targets was successfully utilized in an in-beam γ-ray spectroscopy experiment. The technique employed in the present work not only facilitates the fabrication of stable and pure targets but also minimizes the wastage of the source material. As a result, these efforts pave the way for future fabrication of low-abundance isotopically enriched nuclear physics targets.

Assessing the Color Stability of Polymethyl Methacrylate (PMMA) Dental Restorations Polished With a Novel Polishing Agent Derived From Pulverized Old Alginate Impressions.

Interim restorations are essential in restorative dentistry, serving as temporary solutions until permanent restorations can be placed. Polymethyl methacrylate (PMMA) is a promising solution for customizing teeth for removable dentures to match the exact requirements of patients. The color stability of these restorations is critical for patient satisfaction. PMMAis a widely used material for interim restorations due to its favorable properties. The study compares the color stability of PMMA interim restorations polished using traditional pumice versus Algishine, a novel polishing agent derived from pulverized old alginate impressions. The 3-D design software Geomagic Design X (3D Systems, Rock Hill, CA) created a standard tessellation language file of 2-cm radius circles. Sixty PMMA samples were milled and divided into two groups of 30 each. Group A samples were polished using pumice, while group B samples were polished with Algishine. Baseline color measurements were taken using a spectrophotometer (VITA Easyshade V, VITA Zahnfabrik, Bad Säckingen, Germany). The samples were then subjected to staining with coffee, tea, and red wine solutions for 30 days, simulating oral conditions. Post-staining color measurements were taken, and color changes (ΔE) were calculated at the seven-day (t1) and one-month (t2) mark. The Shapiro-Wilk test assessed normality, followed by a two-way ANOVA testto compare color change values at different time points. At t1 (seven days), there were no significant differences between groups A and B in the coffee and tea staining groups. However, significant differences were observed in red wine staining, with group B exhibiting lower ΔE values (0.14 ± 0.067) compared to group A (0.38 ± 0.076) (p < 0.01). At t2 (30 days), significant differences were noted in all staining groups. Group B consistently showed lower ΔE values: coffee (0.125 ± 0.084 vs. 0.236 ± 0.015, p < 0.01), tea (0.254 ± 0.087 vs. 0.391 ± 0.015, p < 0.01), and red wine (1.174 ± 0.045 vs. 1.309 ± 0.074, p < 0.01), indicating superior resistance to staining compared to group A. The results suggest that Algishine is more effective than pumice in maintaining the color stability of PMMA interim restorations. The novel polishing agent derived from old alginate impressions enhances esthetic longevity and provides an eco-friendly solution for recycling dental material waste. Algishine performs superiorly in preserving the color of PMMA interim restorations against common staining agents. Its application can potentially improve patient satisfaction and contribute to sustainable dental practices.

Bi-Directional Prediction Model for Hot Pressing Production Parameters and Quality of High-Performance Bamboo-Based Fiber Composites Based on cHGWOSCA-SVR

In the hot press process of high-performance bamboo-based fiber composites, there is a highly nonlinear relationship between the production parameters of hot press and the quality parameters of the finished boards. Consequently, it is challenging to accurately predict the quality of the boards based on the given production parameters, and it is equally difficult to preset the production parameters to achieve the desired board quality. The current approach relies on manual experience, which may result in subpar board quality and material waste. To address these issues, this paper proposes a bi-directional prediction model based on cHGWO-SCA-SVR, using the collaboration-based hybrid GWO-SCA optimizer to optimize the relevant parameters of the SVR, and then accurately predicting the production parameters and the quality of the finished boards in both directions. Finally the cHGWO-SCA-SVR prediction model achieves an average of 0.9591 for the forward prediction model and lower MAE and MSE values compared to other models; for the reverse prediction model, it attains an average of 0.9553 and lower MAE and MSE values compared to other models. The results demonstrate the superiority of the cHGWO-SCA-SVR prediction model in comparison with other existing models, proving its significance in guiding the production of high-performance bamboo-based fiber composites by hot compression.

Open-Bin Composting for Enhancing the Processed Fecal Sludge Quality with Co-Composting Materials as Admixture

Processed fecal sludge generated from a sludge treatment plant rich of organic content, micronutrients, and several heavy metals that might potentially exist. Composting process recognized as a promising and cost-effective method to improve the sludge quality. The composting process was carried out in this study by using modified Compost Bag with processed sludge from fecal sludge treatment plant as the main material and organic waste and dry leaves as co-composting materials. The macro-micronutrients and heavy metal concentration of the produced compost were further analyzed. The potential application was also considered by indulging the risk assessment. The main and co-composting materials were investigated in three different ratios of processed fecal sludge (S), organic waste (OW), and dry leaves (DL) to get the optimum composition that meet the compost quality standard. Compost R2 with the ratio of 50S: 25OW: 25DL as an optimum composition which resulted good quality compost with the C/N ratio of 10.29, Total P2O5 about 2.45%, Total K2O of 0.38%, and the Cu removal up to 91.17%. The produced Compost R2 has met the compost quality standard with Hazard Quotient (HQ) for non-carcinogenic effects less than 1 revealed no potential for disease-causing effects thus safe to be used in daily life.

Hybrid Physical–Virtual Digital Twin System for Additive Manufacturing

This study presents a hybrid physical–virtual digital twin system to enhance additive manufacturing (AM). The system aims to achieve real-time monitoring, predictive modeling, and improved 3D printing control. It integrates sensing-driven and simulation-driven digital twins into a comprehensive hybrid digital twin environment (HDTE) tailored for the Creality Ender-5 Plus 3D printer within the Unity 3D virtual environment. The AM process simulation employs a three-dimensional transient finite element model, enabling precise predictions of thermodynamics, residual stress, final distortion, and solidification parameters. To enhance real-time insights, external sensors like thermocouples, thermal cameras, and LIDAR ranging sensors continuously collect temperature and location data during 3D printing. Experimental results confirm the HDTE’s accuracy. Position assessment experiments show their ability to replicate component positions under varying conditions, while temperature assessment experiments demonstrate their capacity to mimic temperature variations promptly and accurately. The study also provides a detailed analysis of nodal temperature distribution within a 3D printed plate, indicating potential for predictive defect detection and print parameter optimization. Additionally, the study integrates a closed-loop control mechanism, ensuring rigorous quality control, although a detailed exposition of this system is reserved for future publications. This paper bridges the gap between virtual design and physical AM production, offering real-time monitoring, predictive capabilities, and automated control. These advancements enhance efficiency, reduce material waste, and promote sustainability. As this system evolves, it promises to revolutionize additive manufacturing, ushering in a data-driven era of intelligent 3D printing across industries.

Uncertainty in the embodied energy assessment of buildings: a case of EWS type low-cost house in India

Studies on embodied energy of buildings often present results as a single-point estimate without considering the variability in input parameters and the uncertainty it poses on results. Uncertainty analysis is useful to improve the reliability of results. This study examines uncertainty in the embodied energy of a single-storey EWS type residential building due to variability in the embodied energy intensity of materials and material wastage factors. Data quality indicator (DQI) based semi-qualitative method is used for modelling the variability in input parameters. Monte Carlo Simulation is used for uncertainty propagation. The building embodied energy is found to vary from 4 to 9 GJ/m2 based on variation in input data. The mean building embodied energy is found to be 6.3 GJ/m2. The embodied energy intensity of materials is found to cause more variation in building embodied energy in comparison with mass of materials. 'Brick’ is identified as the significant key parameter based on the relative contribution to uncertainty and embodied energy at the building level. Cement and rebar are identified as key parameters. The DQI based methodology presented in this study is useful for Life Cycle Assessment practitioners to evaluate uncertainty in the embodied energy assessment of residential buildings.

Analysis Of The Implementation Of Material Flow Cost Accounting At Pt Xyz (Car Manufacturer)

This research discusses implementation analysis Material Flow Cost Accounting (MFCA) at PT XYZ which is one of the car manufacturers in Indonesia. The formulation and aim of this research is to analyze potential calculations material loss and material waste produced by the method Material Flow Cost Accounting (MFCA) and evaluate management's response to management material loss and material waste from the calculations carried out. The research method used is quantitative descriptive method and case study. Resource persons in this study include: 1) Press Shop Manager 2) Body Shop Manager 3) Paint Shop Manager and 4) General Assembly Shop Manager. The data used includes primary data collected by observation and interviews. The data analysis method is carried out through five implementation stages Material Flow Cost Accounting (MFCA) in ISO 14051 and thematic analysis from sources as well as drawing conclusions and recommendations. The research results show that with implementation Material Flow Cost Accounting (MFCA) PT XYZ is able to map all material flows in detail and provide information regarding waste that can be used to increase efficiency and support environmental sustainability in the car production process.

Optimizing porous asphalt mix design for permeability and air voids using response surface methodology and artificial neural networks

Easy infiltration of grouting material in Porous Asphalt Mixture (PAM) is one of the crucial phases in the construction of semi-flexible pavement (SFP). The gradation and compaction primarily influence the pores and their arrangement in PAM, which affects the air voids and permeability of porous mixes and effectiveness of slurry infiltration. Complexity of gradation and compaction makes it very difficult to predict air voids and permeability in PAM. Statistical analysis of these parameters based on experimental data requires very high volume of samples which is missing in literature. Compaction effort has been kept constant in most of them which otherwise is important for stability. Also, machine learning models to predict mix design of PAM has not been explored. This study investigates the PAM using systematic experimentation and modelling approaches such as Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) to establish new and low trial-based guidelines for establishing a relationship between air voids and permeability greater than 0.12 cm/sec, while ensuring the stability of the mix. Using a Simplex Lattice design approach, five distinct types of aggregates were utilized as input variables and twenty-six PAM mixes were generated, which were subjected to 5 compaction levels. A total of 260 mixes were tested and then models were prepared based on RSM and ANN, which considered two output variables: air voids and permeability. RSM and ANN models demonstrated strong agreement between predicted values and actual experiment outcomes. It is observed that optimal permeability in PAM is achieved by adjusting aggregate proportions based on compaction levels. Proportion limits for low compaction suggested 60–70 % coarse aggregates and up to 20 % fines. For higher compaction (25–75 blows), it is recommended to increase the coarse aggregates up to70–90 % and limit fines up to 10 %. All proposed limits satisfied minimum permeability criteria (> 0.12 cm/sec) while ensuring the stability of the mixes. The proposed modelling approach offers greater efficiency and accuracy and reduces trial batch time, minimizing the need for destructive experiments and material wastage.

Surface Roughness Prediction of Parts Produced Through Fusion Deposition Modelling

With technological advances happening in almost every industry, the manufacturing industry has seen quite a growth in terms of scientific advancements due to incorporation of hi-tech instruments and processes. To cope with the fluctuating demands of manufactured products, companies have adopted 3D printing technology for small-quantity batch production. 3D printing is an additive manufacturing (AM) based techniques that is capable of producing complex shapes, reducing material wastage, and reducing production time. In the present work, different researches which predict the Ra of parts produced through fusion deposition modeling are discussed. The present work consists of all the latest research work that has been conducted to identify the factors impacting the surface finish of products developed through Fusion Deposition Modeling (FDM).

Construction of Virtual Simulation Experiment Platform for Intelligent Construction Based on Statistical Machine Learning System Modelling

In the construction of a virtual simulation experiment platform for intelligent construction, cutting-edge technologies converge to revolutionize traditional project management methodologies. By harnessing the power of virtual reality, statistical modeling, and machine learning, this platform empowers stakeholders to predict, optimize, and simulate construction projects with unprecedented accuracy and efficiency. This paper introduces the Virtual Statistical Machine Learning (VS-ML) platform and demonstrates its application in intelligent construction processes. Through comprehensive experimentation and simulation, the VS-ML platform accurately estimates construction project parameters, optimizes resource utilization, schedules tasks efficiently, and classifies project outcomes with high accuracy. Numerical results from our study showcase the platform's effectiveness in various aspects of construction project management. For instance, in construction projects estimation, scenarios ranging from Scenario 1 to Scenario 10 exhibit project durations between 100 to 150 days, cost estimates ranging from $470,000 to $550,000, and safety ratings varying from "Good" to "Excellent". Furthermore, labor efficiency and material waste estimations across scenarios demonstrate percentages ranging from 85% to 93% and 3% to 7%, respectively, with corresponding safety ratings. Additionally, task computations elucidate the durations, start dates, end dates, and resource allocations for individual tasks within construction projects. Lastly, classification results exhibit the predicted probabilities and class labels for samples, showcasing the platform's ability to accurately predict project outcomes. Overall, the findings underscore the potential of VS-ML in revolutionizing traditional construction practices through data-driven approaches, leading to improved project management, cost savings, and enhanced safety standards in the construction industry.

Thermal performance and life cycle analysis of 3D printed concrete wall building

Automated construction process with extrusion-based 3D concrete printing (3DCP) is widely recognised due to its ability to construct complex freeform geometrical shapes. Furthermore, the automation process reduces labour and minimises material wastage, thus improving productivity. The structural performance of printed structures has been widely discussed; however, addressing the knowledge gap in energy performance and their environmental impact needs further investigation. Thus, this study investigated and compared the insulation characteristics, life cycle cost and environmental impact assessment of 3DCP structures with traditional reinforced concrete members. The evaluation of the insulation properties of 3D printable concrete allows the characterisation of operational costs and greenhouse gas emissions incurred from the additional heating and cooling systems. Furthermore, this study also suggested a method to enhance the thermal resistance of 3DCP with recycled fibre recovered from face mask waste. A comparison between face mask fibre-reinforced 3D-printed wall element and conventional reinforced concrete wall is also performed across the thermal, life cycle cost and environmental impact parameters. The results showed that the insulation properties of 3DCP walls were increased by 49.5% with the addition of face mask fibres compared to RC walls. This results in reduced energy consumption from additional heating and cooling systems along with a reduction in greenhouse gas emissions, thereby improving the energy performance of the building. Further, face mask fibre-reinforced printed walls showed a reduction in the life cycle cost, mainly in the operation stage, due to the low labour requirement and elimination of formwork. Moreover, a significant reduction in the depletion of resources and ozone depletion was observed for 3DCP face mask fibre-reinforced walls, along with the reduced impact on human health and ecosystem damage. Consequently, the incorporation of face mask fibres into the 3DCP process paves the way for its potential in constructing energy-efficient and environmentally sustainable buildings.