Traditional Manufacturing Methods Research Articles

3D Printing with Self-Healing Materials and Applications

3D printing also called as the additive manufacturing. It is revolutionizing various industries by enabling the production of complex objects directly from digital models. This technology offers significant advantages over traditional manufacturing methods. Especially in reducing material waste and increased design flexibility. The range of 3D printing application contains healthcare to aerospace, reflecting its growing importance in modern society. Recently, 3D printing advancements have introduced in self-healing (SH) materials, it saved limitations related to the durability and repairability of printed objects. SH materials are categorized into external and internal systems. External SH materials use embedded healing agents that repair damage through chemical reactions, while internal systems rely on dynamic bonding within the material itself. This innovation not only extends the functional life of 3D printed items but also supports trends in mass customization and sustainability. This paper explores the mechanisms, types, and applications of SH materials in 3D printing, and mainly focus on their potential to enhance product longevity and functionality across medical, construction, and consumer goods sectors.

Enhancement of Additive Manufacturing Processes for Thin-Walled Part Production Using Gas Metal Arc Welding (GMAW) with Wavelet Transform

Additive manufacturing encompasses technologies that produce three-dimensional computer-aided design (CAD) models through a layer-by-layer production process. Compared to traditional manufacturing methods, additive manufacturing technologies offer significant advantages in producing intricate components with minimal energy consumption, reduced raw material waste, and shortened production timelines. AM methods based on shielded gas welding have recently piqued the interest of researchers due to their high efficiency and cost-effectiveness in manufacturing critical components. However, one of the most formidable challenges in additive manufacturing methods based on shielded gas welding lies in the irregularity of weld bead height at different points, compromising the precision of components produced using these techniques. In this current research, we aimed to achieve uniform weld heights along the welding path by considering the most influential parameters on weld bead geometry and conducting experimental tests. Input parameters of the process, including nozzle angle, welding speed, wire speed, and voltage, were considered. Simultaneously, image processing and wavelet transform were employed to assess the uniformity of weld bead height. These parameters were applied to produce intricate parts after identifying optimal parameters that yielded the smoothest weld lines. According to the results, the appropriate bead for manufacturing the part was extracted. The results show that the smoothest bead line is achieved in 27 V as the highest level of voltage, at a 90° nozzle position and the maximum wire feed rate. Parts manufactured using this method across different layers exhibited no distortions, and the repeatability of production substantiated the high reliability of this approach for component manufacturing.

Optimization of laser powder bed fusion process parameter for the fabrication of AlSi12 using NSGA‐II and Pareto search algorithm

AbstractAdditive manufacturing, notably laser powder bed fusion (LPBF), excels in producing complex geometries and is widely used in the automotive, aerospace, and naval industries. Laser powder bed fusion enables the creation of components with the required stiffness and strength at a lighter weight than traditional manufacturing methods. Aluminium alloys are particularly promising for laser powder bed fusion in the automotive and aerospace sectors. To enhance the effectiveness of laser powder bed fusion‐produced components, optimized process parameters must be designed for specific materials. This study investigates the influence of processing parameters, scan speed, scan strategy, and hatch space, on the relative density, surface roughness, and microhardness of AlSi12 samples fabricated by laser powder bed fusion. A Taguchi L27 orthogonal array was used to systematically analyze the effects of these parameters. A regression model was developed and evaluated through analysis of variance using signal‐to‐noise (S/N) ratios to identify optimal parameter values. Results indicated that the scan pattern significantly affects relative density, while hatch space impacts surface roughness and microhardness. Optimal solutions were obtained through multi‐objective optimization using the non‐dominated sorting genetic algorithm (NSGA‐II) and Pareto search algorithms. Experimental validation showed average errors of 0.483 % and 0.461 % for NSGA‐II and Pareto search algorithms, respectively.

Silver-Doped Reduced Graphene Oxide/PANI-DBSA-PLA Composite 3D-Printed Supercapacitors.

This study presents a novel approach to the development of high-performance supercapacitors through 3D printing technology. We synthesized a composite material consisting of silver-doped reduced graphene oxide (rGO) and dodecylbenzenesulfonic acid (DBSA)-doped polyaniline (PANI), which was further blended with polylactic acid (PLA) for additive manufacturing. The composite was extruded into filaments and printed into circular disc electrodes using fused deposition modeling (FDM). These electrodes were assembled into symmetric supercapacitor devices with a solid-state electrolyte. Electrochemical characterization, including cyclic voltammetry (CV) and galvanostatic charge-discharge (GCD) tests, demonstrated considerable mass-specific capacitance values of 136.2 F/g and 133 F/g at 20 mV/s and 1 A/g, respectively. The devices showed excellent stability, retaining 91% of their initial capacitance after 5000 cycles. The incorporation of silver nanoparticles enhanced the conductivity of rGO, while PANI-DBSA improved electrochemical stability and performance. This study highlights the potential of combining advanced materials with 3D printing to optimize energy storage devices, offering a significant advancement over traditional manufacturing methods.

Use Of Digital Technologies In Prosthodontic Clinical Practice Among Prosthodontists In Tamilnadu And Pondicherry

Background: Digital dentistry includes treatments performed by means of digital or computer-controlled components rather than using mechanical or electrical equipment. The advancement of digital technology and the commencement of Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) and 3D printing has brought large changes to the traditional manufacturing method, where manual work is carried out after oral impression taking. Aim: To conduct a questionnaire survey on use of digital technology in prosthodontic clinical practice among Prosthodontists in Tamilnadu and Pondicherry. Materials and methods: A cross-sectional questionnaire based online survey was undertaken amongst 183 Prosthodontists in Tamilnadu and Pondicherry (Group 1 – Both private practitioners and teaching faculty, Group 2 – Private practitioners, Group 3 – Teaching faculty). The questionnaire consisted of 21 questions which evaluated their awareness, knowledge and practices towards digital dentistry. Statistical analysis was done using Chi-square test in each group, using Statistical Package for the Social Sciences (SPSS) version 23.0. The p-value 0.05 was considered significant. Results: Majority of the study participants were private practitioners in the age group of 25 – 45 years(93%).Among the three groups private practitioners had good knowledge, practice and awareness about the application of digital technologies. Conclusion: Most of the participants were aware about digital technology in dentistry. The private practitioners showed better understanding about the digital technology. However, to make them familiar with CAD/CAM, dental education programs, workshops and hands on program should be conducted which will enable an emerging dentists who will be well versed with digital dentistry.

Material Selection for Metal Additive Manufacturing Using Multi-Criteria Decision Making Methods

Additive manufacturing has attracted attention as a new generation manufacturing method that has found widespread use in many industries in recent years due to its many advantages over traditional manufacturing methods. The materials used in metal additive manufacturing technology have a wide range. Therefore, making the ideal choice among these preferable materials is very important. Multi-criteria decision making (MCDM) techniques are reliable and effective methods in material selection processes and are effectively used in material selection processes. In this study, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and Additive Ratio Assessment (ARAS) methods were applied to the selection process among different criteria and materials for metal additive manufacturing. It was observed that AlSi12Cu2Fe material ranked first in the TOPSIS method, while H13 material ranked first in the ARAS method. The second place was taken by H13 material in the TOPSIS method and AlSi12Cu2Fe material in the ARAS method. A strong relationship exists between TOPSIS and ARAS methods with a Pearson correlation coefficient of 0.977. It has been concluded that it will be more effective to decide according to the nature of the technological application in the use of the materials that rank first two in TOPSIS and ARAS methods in additive manufacturing.

Comparison of high-temperature friction and wear behaviours of Ti6Al4V produced by additive manufacturing and casting

Additive manufacturing (AM) methods, especially selective laser melting (SLM), have recently attracted attention because they enable the quick and easy production of complex parts that cannot be produced with traditional manufacturing methods. However, residual stresses in the fabricated components impact their mechanical characteristics and may necessitate additional heat treatments. In this study, SLM-produced Ti6Al4V parts were subjected to a stress relief treatment under argon gas at 790°C for 2 h. The microstructure, microhardness and high-temperature tribological properties were examined comparatively with the traditional casting method. Dry sliding tribological experiments were carried out at different temperatures up to 600°C to compare high-temperature performance. It has been determined that the microstructure of samples produced by casting and SLM comprised β and α phases. The casting sample had 66.02% α grains, whereas the SLM sample had 59.02% α grains. The average microhardness in the SLM sample was marginally higher than that in the casting due to the formation of martensitic α. The results showed that wear rates increased with temperature for each sample. SLM samples exhibited slightly higher wear rates at each test temperature compared to the casting sample, which is attributed to the oxidative wear mechanism. The higher percentage of oxygen in the triboxide layers in the casting sample increased the wear resistance. When examining friction coefficients, an increase in average friction coefficients was observed at a test temperature of 300°C, while a decrease was observed at a test temperature of 600°C.

Advancements in Metal Processing Additive Technologies: Selective Laser Melting (SLM)

Nowadays, the use of metal processing additive technologies is a rapidly growing field in the manufacturing industry. These technologies, such as metal 3D printing (also known as additive manufacturing) and laser cladding, allow for the production of complex geometries and intricate designs that would be impossible with traditional manufacturing methods. They also offer the ability to create parts with customized properties, such as improved strength, wear resistance, and corrosion resistance. In other words, these technologies have the potential to revolutionize the way we design and produce products, reducing costs and increasing efficiency to improve product quality and functionality. One of the significant advantages of these metal processing additive technologies is a reduction in waste and environmental impact. However, there are also some challenges associated with these technologies. One of the main challenges is the cost of equipment and materials, which can be prohibitively expensive for small businesses and individuals. Additionally, the quality of parts produced with these technologies can be affected by factors such as printing speed, temperature, and post-processing methods. This review article aims to contribute to a deep understanding of the processing, properties, and applications of ferrous and non-ferrous alloys in the context of SLM to assist readers in obtaining high-quality AM components. Simultaneously, it emphasizes the importance of further research, optimization, and cost-effective approaches to promote the broader adoption of SLM technology in the industry.

Recent Advances in Wearable Textile-Based Triboelectric Nanogenerators.

We review recent results on textile triboelectric nanogenerators (T-TENGs), which function both as harvesters of mechanical energy and self-powered motion sensors. T-TENGs can be flexible, breathable, and lightweight. With a combination of traditional and novel manufacturing methods, including nanofibers, T-TENGs can deliver promising power output. We review the evolution of T-TENG device structures based on various textile material configurations and fabrication methods, along with demonstrations of self-powered systems. We also provide a detailed analysis of different textile materials and approaches used to enhance output. Additionally, we discuss integration capabilities with supercapacitors and potential applications across various fields such as health monitoring, human activity monitoring, human-machine interaction applications, etc. This review concludes by addressing the challenges and key research questions that remain for developing viable T-TENG technology.

Ultrasonic field-assisted metal additive manufacturing (U-FAAM): Mechanisms, research and future directions

Metal additive manufacturing (AM) is a disruptive technology that provides unprecedented design freedom and manufacturing flexibility for the forming of complex components. Despite its unparalleled advantages over traditional manufacturing methods, the existence of fatal issues still seriously hinders its large-scale industrial application. Against this backdrop, U-FAAM is emerging as a focus, integrating ultrasonic energy into conventional metal AM processes to harness distinctive advantages. This work offers an up-to-date, specialized review of U-FAAM, articulating the integrated modes, mechanisms, pivotal research achievements, and future development trends in a systematic manner. By synthesizing existing research, it highlights future directions in further optimizing process parameters, expanding material applicability, etc., to advance the industrial application and development of U-FAAM technology.

Image Sensors and Photodetectors Based on Low‐Carbon Footprint Solution‐Processed Semiconductors

AbstractThis mini‐review explores the evolution of image sensors, essential electronic components increasingly integrated into daily life. Traditional manufacturing methods for image sensors and photodetectors, employing high carbon footprint techniques like thermal evaporation and chemical vapor deposition, are being replaced by environmentally conscious solution processing. Organic and Colloidal Quantum Dot‐based image sensors emerge as promising candidates, aligning with the shift toward solution‐based device integration. This review provides insights into the working principles of photodetectors and image sensors, summarizing relevant materials and fabrication approaches. Additionally, it delves into the detailed exploration of pixelated patterning techniques and their potential applications in the realm of solution‐processed image sensor fabrication.

Thermomechanical modelling of residual stresses and distortion in laser powder bed fusion: Assessment of the effect of build plate preheating on the behaviour of Inconel 718

The fabrication of complex metallic parts via laser powder bed fusion (L–PBF) is becoming more mainstream to overcome the limitations of traditional manufacturing methods. However, L–PBF induces undesirable residual stresses (RS) and possible geometric distortion of the component. This study aims to show the capabilities of build plate preheating in mitigating both defects. A thermomechanical finite element model is developed to investigate the outcomes of various preheating conditions when producing Inconel 718 samples consisting in a base and an overhanging beam restricted with support structures. Initially, the model is calibrated against the deflection result of an academic work employing a resemblant geometry. Our study is then performed. The as–built von Mises stress evolution along two paths as well as part distortion are assessed at 100, 300, and 500°C, then compared to the reference “no preheating” case results. A peak top surface RS of 803MPa was reached without preheating and reduced by 48.69% at 500°C. Along the vertical path, the mean stress value went from 897MPa at 20°C to 474MPa at 500°C. Distortion of the as–built part is essentially a non–uniform contraction of the beam along the x–direction due to progressive bending of the supports about y–axis. Once the beam is unrestricted from the substrate, it deforms as a cantilever structure. Increasing the preheating temperature decreases the maximum build direction deflection by 14.56% at 100°C, up to 76.94% at 500°C in comparison to the 4.12mm reached at 20°C. In conclusion, preheating the substrate is a very effective way to mitigate RS and distortion in L–PBF of Inconel 718. Even the relatively low 100°C showed a notable improvement in this regard.

Construction and Analysis of Cutting Force and Stability Prediction Model in CNC Milling Thin-Walled Parts Machining

Thin-walled parts are widely used in precision instruments, automobiles and other fields for their high strength, light weight and other characteristics. However, in the process of CNC milling, as the thickness of the parts decreases, their rigidity gradually decreases, resulting in the machining process is very easy to produce vibration, and even chatter, which seriously affects the accuracy and surface quality of the parts. Traditional manufacturing methods usually use conservative cutting dosage to reduce vibration, but this greatly limits the performance of CNC machine tools and cutting tools. In order to solve this problem, this paper thoroughly investigates the dynamic characteristics of the cutting process of thin-walled parts, and constructs a cutting force and stability prediction model. Through a combination of theoretical analysis, experimental verification and numerical simulation, this paper comprehensively analyses the impact of cutting parameters, tool geometry, workpiece material properties and other factors on cutting force and machining stability. The research results not only help to improve the cutting theory of thin-walled parts, but also provide an important technical support for the realisation of high-efficiency and high-precision machining. The results of this paper show that by optimising the cutting parameters and tool geometry, the cutting force can be effectively reduced and the machining stability can be improved, so as to achieve efficient and high-precision machining of thin-walled parts. In addition, this paper also explores the causes and mechanisms of vibration in the machining process, providing a theoretical basis for the development of targeted vibration control measures. The research in this paper is important for promoting the development of thin-walled parts machining technology, not only helps to improve the processing efficiency and quality of parts, but also helps to promote the manufacturing industry to a more efficient, more precise direction.

Microstructure evolution in laser-based powder bed fusion of metals

Abstract Laser-based powder bed fusion (LPBF) of metals offers the unique possibility of creating the microstructure voxel-by-voxel. The minimum voxel size in each direction is dependent on material dosing accuracy coupled with laser processing parameters. The rapid solidification conditions during LPBF lead to material heterogeneity coupled with hierarchical and non-equilibrium microstructures. The current paper delves into two different pathways available currently to control microstructure in LPBF, namely: in-situ microstructure control through material distribution to form functionally graded components with complex interfaces; application of post-processing thermo-mechanical treatments to control the microstructure. Unlike traditional manufacturing methods, each voxel in LPBF can be further processed multiple times after the first fusion process. Such in-situ processing presents further opportunity for tailoring the microstructure of each voxel in 3D. A future perspective is thus offered on the opportunities to control and engineer LPBF microstructures in metals.

3D Printing and Blue Sustainability: Taking Advantage of Process-Induced Defects for the Metallic Ion Removal from Water.

Additive manufacturing (AM), commonly known as 3D printing, allows for the manufacturing of complex systems that are not possible using traditional manufacturing methods. Nevertheless, some disadvantages are attributed to AM technologies. One of the most often referred to is the defects of the produced components, particularly the porosity. One approach to solving this problem is to consider it as a non-problem, i.e., taking advantage of the defects. Commercially, LAY-FOMM®60 polymer was successfully used in AM through a material extrusion process. This filament is a blend of two polymers, one of them soluble in water, allowing, after its removal from the printed components, the increase in porosity. The defects produced were exploited to evaluate the metallic ion removal capacity of manufactured components using non-potable tap water. Two experimental setups, continuous and ultrasound-assisted methods, were compared, concerning their water cleaning capacity. Results revealed that continuous setup presented the highest metallic ion removal capacity (>80%) for the following three studied metallic ions: iron, copper, and zinc. High water swelling capacity (~80%) and the increase in porosity of 3D-printed parts played a significant role in the ion sorption capacity. The developed strategy could be considered a custom and affordable alternative to designing complex filtration/separation systems for environmental and wastewater treatment applications.

Development of Micro Electrical Discharge Machine and Micro-hole Machining Using Multiple Micro Electrodes

Recent advances in microtechnology have highlighted the need for fabricating microscopic parts with complex three-dimensional structures. This, in turn, has increased the demand for innovative tools. Micro electrical discharge machining (MEDM) is one such technique that has proven to be effective in producing parts that are difficult to fabricate using traditional manufacturing methods, such as micro shafts and micro holes. Therefore, this study focuses on the development of a specialized MEDM system that incorporates an optimized wire electrical discharge grinding (WEDG) module. Additionally, the study successfully fabricates microelectrodes for use as cutting tools using the MEDM/WEDG system. These micro-electrodes are then utilized in the precise fabrication of various types of multiple micro electrodes through the use of reverse electrical discharge machining (REDM). These multiple micro electrodes are subsequently employed in precise hole machining operations using MEDM. The application of REDM signifies a significant technological advancement in the precision fabrication of microstructures. Furthermore, it is expected to greatly enhance the versatility and efficiency of microtechnology manufacturing processes. Overall, REDM represents a new approach to manufacturing that is capable of producing more complex and high-precision microstructures.

Multiscale periodic homogenization for additive manufacturing of honeycomb lattices

Additive manufacturing (AM) is revolutionizing how we create things, offering innovative solutions that rival traditional manufacturing methods. In Fused Filament Fabrication (FFF), incorporating continuous fiber-reinforced filaments has significantly enhanced mechanical properties, making them valuable across diverse sectors like aerospace, automotive, and robotics. However, before printing a part, numerical simulation for design verification is essential. Yet, there’s a lack of suitable tools for modeling the complex material properties, particularly for composite lattice structures. To address this, we propose a three-level periodic homogenization method. The first level focuses on modeling individual filaments, followed by characterizing inter-bead voids at the second level, and finally, modeling collective lattice behavior at the third level. Hexagonal cellular lattice composite structures were modeled and tested to confirm the method’s accuracy and its value in supporting simulation and modular design for the composite FFF process.

Research on a Support-Free Five-Degree-of-Freedom Additive Manufacturing Method.

When using traditional 3D printing equipment to manufacture overhang models, it is often necessary to generate support structures to assist in the printing of parts. The post-processing operation of removing the support structures after printing is time-consuming and wastes material. In order to solve the above problems, a support-free five-degree-of-freedom additive manufacturing (SFAM) method is proposed. Through the homogeneous coordinate transformation matrix, the forward and inverse kinematics equations of the five-degree-of-freedom additive manufacturing device (FAMD) are established, and the joint variables of each axis are solved to realize the five-axis linkage of the additive manufacturing (AM) device. In this research work, initially, the layered curve is obtained through the structural lines of the overhang model, and a continuous path planning of the infill area is performed on it, and further, the part printing experiments are conducted on the FAMD. Compared with the traditional three-axis additive manufacturing (TTAM) method, the SFAM method shortens the printing time by 23.58% and saves printing materials by 33.06%. The experimental results show that the SFAM method realizes the support-free printing of overhang models, which not only improves the accuracy of the parts but also the manufacturing efficiency of the parts.

Cytocompatibility of Polymers for Skin-Contact Applications Produced via Pellet Extrusion.

Orthoses and prostheses (O&P) play crucial roles in assisting individuals with limb deformities or amputations. Proper material selection for these devices is imperative to ensure mechanical robustness and biocompatibility. While traditional manufacturing methods have limitations in terms of customization and reproducibility, additive manufacturing, particularly pellet extrusion (PEX), offers promising advancements. In applications involving direct contact with the skin, it is essential for materials to meet safety standards to prevent skin irritation. Hence, this study investigates the biocompatibility of different thermoplastic polymers intended for skin-contact applications manufactured through PEX. Surface morphology analysis revealed distinct characteristics among materials, with TPE-70ShA exhibiting notable irregularities. Cytotoxicity assessments using L929 fibroblasts indicated non-toxic responses for most materials, except for TPE-70ShA, highlighting the importance of material composition in biocompatibility. Our findings underscore the significance of adhering to safety standards in material selection and manufacturing processes for medical devices. While this study provides valuable insights, further research is warranted to investigate the specific effects of individual ingredients and explore additional parameters influencing material biocompatibility. Overall, healthcare practitioners must prioritize patient safety by meticulously selecting materials and adhering to regulatory standards in O&P manufacturing.

Effect of Thermal Shock Conditions on the Low-Cycle Fatigue Performance of 3D-Printed Materials: Acrylonitrile Butadiene Styrene, Acrylonitrile-Styrene-Acrylate, High-Impact Polystyrene, and Poly(lactic acid).

3D printing technology is becoming a widely adopted alternative to traditional polymer manufacturing methods. The most important advantage of 3D printing over traditional manufacturing methods, such as injection molding or extrusion, is the short time from the creation of a new design to the finished product. Nevertheless, 3D-printed parts generally have lower strength and lower durability compared to the same parts manufactured using traditional methods. Resistance to the environmental conditions in which a 3D-printed part operates is important to its durability. One of the most important factors that reduces durability and degrades the mechanical properties of 3D-printed parts is temperature, especially rapid temperature changes. In the case of inhomogeneous internal geometry and heterogeneous material properties, rapid temperature changes can have a significant impact on the degradation of 3D-printed parts. This degradation is more severe in high-humidity environments. Under these complex service conditions, information on the strength and fatigue behavior of 3D-printed polymers is limited. In this study, we evaluated the effects of high humidity and temperature changes on the durability and strength properties of 3D-printed parts. Samples made of commonly available materials such as ABS (Acrylonitrile Butadiene Styrene), ASA (Acrylonitrile-Styrene-Acrylate), HIPS (High-Impact Polystyrene), and PLA (Poly(lactic acid)) were subjected to temperature cycling, from an ambient temperature to -20 °C, and then were heated to 70 °C. After thermal treatment, the samples were subjected to cyclic loading to determine changes in their fatigue life relative to non-thermally treated reference samples. The results of cyclic testing showed a decrease in durability for samples made of ASA and HIPS. The ABS material proved to be resistant to the environmental effects of shocks, while the PLA material exhibited an increase in durability. Changes in the internal structure and porosity of the specimens under temperature changes were also evaluated using microcomputed tomography (microCT). Temperature changes also affected the porosity of the samples, which varied depending on the material used.