Production Process Research Articles

Diagrammatic devices in early to mid-twentieth-century American art pedagogy

ABSTRACT Diagrams demonstrating principles of formal arrangement (what is commonly called composition or design) were pervasive in the production and interpretation of pictorial art in the United States throughout the first half of the twentieth century. This essay surveys three of the most influential: a Japan-inspired design manual written by art educator Arthur Dow and first published in 1899; a WWI-era proportional scheme devised by illustrator and amateur classical archeologist Jay Hambidge, and a series of essays from 1926 on the ‘mechanics of form organization’ by painter (and, at the time, Art Students League of New York instructor), Thomas Hart Benton. These and similar devices were an integral part of the relentless standardization and self-conscious modernization of artists’ methods modeled on industrial processes of mass production and pursued between the Civil War and the Great Depression by educators and policy-makers interested in establishing the teaching of art in the United States on a more practical basis than that provided by the European academic tradition. Despite their once near-ubiquity and pivotal role in the development of several generations of American modernists, including Georgia O’Keeffe, George Bellows and Jackson Pollock, as described here, these hugely popular devices are almost entirely forgotten today.

Can the Manufacturing Process Be Improved by FMEA? A Study on X Company in Plastic Packaging Industry in Vietnam

This study based on the FMEA method, provides a systematic approach, which include identifying potential errors in the production process, tracking priority issues, proposing improvement solutions, and putting those solutions into practice in order to improve the flexible plastic packaging manufacturing process at a typical X company in the plastic packaging industry in Vietnam. It is found that four large errors – GP8, SM4, LM4, and BF4 – stand out as having an RPN index higher than 250. The aforementioned issues are also analyzed, and their root causes are tracked down using techniques like brainstorming, cause-effect diagram, and 5 Whys. Then, appropriate actions are taken to deal with these causes. Overall, the findings can serve as an insightful reference for Vietnamese manufacturing companies using the FMEA method to identify any potential errors in their production processes. After that, the company is able to organize proper inquiries and make recommendations for potential failure prevention strategies as well.

Listening "At the Bedside": Podcasts as an Emerging Tool for Medical Ethics Education.

Medical ethics education is crucial for medical students and trainees, helping to shape attitudes, beliefs, values, and professional identities. Exploration of ethical dilemmas and approaches to resolving them provides a broader understanding of the social and cultural contexts in which medicine is practiced, as well as the ethical implications of medical decisions, fostering critical thinking and self-reflection skills imperative to providing patient-centered care. However, exposure to medical ethics topics and their clinical applications can be limited by curricular constraints and the availability of institutional resources and expertise. Podcasts, among other Free Open Access Medical Education (FOAMed) resources, are a novel educational tool that offers particular advantages for self-directed learning, a process by which learners engage in asynchronous educational opportunities outside of traditional academic or clinical settings. Podcasts can be readily distributed to wide audiences and played at any time, reducing barriers to access and offering a level of flexibility that is not possible with traditional forms of education and is well-suited to busy schedules. Podcasts can also use real voices and storytelling to make the content memorable and eminently human. This paper describes the development, production process, and impact of Core IM's "At the Bedside," a podcast focusing on issues in medical ethics and the medical humanities, intending to supplement standard bioethics curricula in an accessible, relevant, and engaging way. The authors advocate for broad incorporation of podcasts into medical ethics education.

A Novel Axial Load Inversion Method for Rock Bolts Based on the Surface Strain of a Bearing Plate

Anchor rock bolts are among the essential support components employed in coal mine support engineering. Measuring the axial load of the supporting anchor bolts constitutes an important foundation for evaluating the support effect and the mechanical state of the surrounding rock. The existing methods for measuring the axial load of rock bolts have difficulty meeting the actual demands in terms of accuracy and means. Therefore, we propose a novel inverse method for determining the axial load of rock bolts. On the basis of the dynamic relationship between the axial load of the anchor bolt and the strain of the plate, a calculation model for the inverse analysis of the axial load from the plate strain is presented, and it is verified and corrected through finite element analysis and indoor physical experiments. By combining the calculation model with the digital image correlation method, a low costinversion of the axial load of the anchor bolt in actual support engineering is achieved. The experimental results demonstrate that the average errors of the load inversion of anchor bolts in three different states via the theory and method proposed in this paper are less than 8.8% (4 kN), 3.6% (3.2 kN), and 14.7% (5.5 kN), respectively, and the average error of the axial load of the rock bolts in the proposed method is only 4.23 kN. It possesses relatively high accuracy and can be effectively applied in the actual production processes of mines.

Towards carbon neutrality: asymmetric impact of financial development and digitalization on carbon dioxide emissions in Mediterranean countries

AbstractThe current research investigates the impact of financial development, digitalization, green trade, manufacturing, and national income on carbon dioxide (CO2) emissions of six Mediterranean countries (MEDIT-6). The study uses a nonlinear panel quantile regression model with panel data of MEDIT-6 countries from 1994 to 2022. The study asserts that higher financial development will reduce CO2 emissions for MEDIT-6 countries, as it provides more financing options to invest in green energy and potentially curb excessive energy consumption which in turn reduces CO2 emissions. The study also provides evidence that digitalization in MEDIT-6 countries has led to dematerialization, thereby reducing CO2 emissions. Digitalization makes trade and commerce platforms more efficient by facilitating the smooth flow of information and enhancing the efficiency of production processes. The positive relationship between manufacturing and national income and CO2 emissions exhibits a U-shaped pattern, which supports the existence of Environmental Kuznets Curve (EKC) hypothesis. The study shows how the MEDIT-6 countries have been successful in promoting financial development and digitalization, which helps reduce their CO2 emissions. However, it also raises concerns for policymakers as promoting developmental activities such as manufacturing is inevitable, but it comes with environmental challenges such as higher CO2 emissions. The current study contributes to the reservoir of existing literature by providing fresh evidence from the Mediterranean region on the impact of financial development and digitalization on CO2 emissions. Graphical Abstract

In Situ Preparation of Highly Active and Selective Fe‐MOF/V–C3N4 for Photocatalytic Hydroxylation of Benzene to Phenol

AbstractThe selective photocatalytic oxidation of benzene to phenol under mild conditions is of great significance for the next‐generation phenol industry. In order to improve the efficiency of the phenol production process, a heterojunction catalyst based on Fe‐MOF/V–C3N4 was synthesized by solvothermal method. Compared with Fe‐MOF and C3N4, the photogenerated charge separation rate of this composite catalyst was significantly enhanced, and the photogenerated electron‐hole complexation was significantly weakened.Under the optimal conditions, the yield and selectivity of phenol were 18.75 % and 96 % respectively, and the photocatalytic activity remained high after four reaction cycles. The improved strategy for this catalyst will provide some new insights for the development of more efficient photocatalysts for the direct hydroxylation of benzene to phenol.

Methodologies and Procedures for the Audiovisual Creation and Direction of Virtual Reality Short Films with Volumetric Capture. An Innovation Project for Higher Education

Virtual reality (VR) has become a cutting-edge medium for interactive experiences and immersive storytelling. In this setting, virtual reality short films have become more popular. They provide audiences with the chance to fully submerge themselves in three-dimensional environments and experience the staging of fictional events firsthand. This article presents a method for producing virtual reality short films using volumetric capture, which enables the implementation of real-time acting captured in three-dimensional video in virtual space-time.The production process is explained, starting with the idea of creating hybrid virtual reality cinematic experiences that blend various methods and assets, such as volumetric capture, computer graphics, and 360-degree film. For this experience, the production of the second episode of the virtual reality series The Stigma Machine (Martínez-Cano, 2022-currently) was carried out within the framework of the educational innovation project PIEU_B/2023_69: Production of prosocial-immersive audiovisual narratives in virtual reality, which involves 20 students from Miguel Hernández University’s Degree in Audiovisual Communication and the Double Degree in Audiovisual Communication and Journalism.In order to experiment with the students on the various processes and techniques for the audiovisual creation of VR, a review of exceptional examples of VR short films with volumetric capture was conducted during the development of this project. Case studies were analyzed to illustrate the various solutions implemented to create immersive experiences from an emotional approach.The findings highlight future directions for the creation of VR short films with volumetric capture and stress the value of multidisciplinary cooperation between filmmakers, visual artists, and VR specialists in advancing the development of this type of immersive storytelling.

ANALISIS NILAI TAMBAH DAN OPTIMASI KEUNTUNGAN PRODUKSI OLAHAN KERANG KAMPAK (STUDI KASUS PADA UMKM BUNDA SURABAYA)

This research was conducted at UMKM Bunda Surabaya, Surabaya City, with a focus on value-added analysis and profit optimization of processed shellfish production. The research method used was a case study with non-probability sampling, and data collection through interviews, questionnaires, observation, and secondary data. Data analysis was carried out descriptively and quantitatively, including the calculation of production costs, revenues, and profits. The Hayami method was used to calculate added value, while the simplex method was used for production profit optimization. The results showed that Bunda Surabaya MSMEs earned profits from the production of shredded clams, clam sticks, and clam chili sauce, with a fairly high added value. The highest profit was obtained from the clam sauce product amounting to Rp. 775,201 per one production process. The added value of shredded clams is Rp. 94,726 per kg of raw material with a value-added ratio of 63.15%. This research is expected to provide benefits for the shellfish processing industry and improve the welfare of the fishing community.

Eliminating Scraps in Refrigerator Door Sealing—A Six Sigma Case Study

This paper applies the Six Sigma method to an investigation and analysis of the factors contributing to sealing problems encountered in a refrigerated appliance model. By adopting a rigorous and systematic approach, the Six Sigma method relies on the use of advanced statistical and analytical tools to minimize variability and optimize processes. By utilizing the Six Sigma methodology, this work not only identifies and remedies sealing-related problems, but also contributes to a robust and efficient manufacturing process. The proposed methodology adopts the DMAIC approach and its associated tools to evaluate the impact of waste on the production process. This study aims to demonstrate how the DMAIC approach can effectively assist the company in minimizing scrap. Furthermore, detailed recommendations regarding the application and implementation of DMAIC tools are provided, enabling the company to thoroughly assess its existing processes. These insights will empower the company to identify areas for improvement and implement strategies for ongoing enhancement and operational excellence.

Comprehensive review of additive manufacturing lifecycle optimization in a cloud environment: from distributed manufacturing to postprocessing

Purpose This paper aims to offer a comprehensive review and categorization of production optimization throughout the additive manufacturing lifecycle in a cloud environment. It aims to provide a structured approach to identifying and addressing issues. Design/methodology/approach This paper systematically reviews 75 technical papers on cloud manufacturing, nesting, scheduling and postprocessing in additive manufacturing. This includes a detailed discussion of the key issues. Findings This paper introduces a production framework for the entire lifecycle of additive manufacturing in a cloud environment. This framework aids in problem identification and decision-making based on the process flow. It provides an integrated view from cloud to postprocessing, examining decision interdependencies and enhancing problem identification and organization. Originality/value To the best of the authors’ knowledge, this paper is the first to review the complete lifecycle of additive manufacturing, emphasizing the often-overlooked aspects of postprocessing and cloud manufacturing. It offers a comprehensive study of lifecycle optimization challenges and suggests ways to streamline the production process.

Glycerol esterification of free fatty acids catalyzed by zinc glycerolate for biodiesel production from acidified palm oil: Optimization, kinetic study, and process evaluation

AbstractBiodiesel is an important alternative renewable liquid fuel due to its eco‐friendly, non‐toxic, and lower emissions. In this work, glycerol esterification catalyzed by zinc glycerolate was employed as a pretreatment to prepare biodiesel from acidified palm oil. The effects of stirring rate, catalyst amount, glycerol to free fatty acids (FFAs) molar ratio, and reaction temperature on the conversion of FFAs and concentration of monoglycerides, diglycerides, and triglycerides were investigated and optimized. The results show that the conversion of FFAs could reach 99.16% under the optimized conditions. Moreover, the kinetics of glycerol esterification catalyzed by zinc glycerolate at 160–200°C was obtained. Additionally, a comprehensive evaluation of the new biodiesel production process was also conducted. As a result, higher biodiesel content in the crude biodiesel phase was obtained after transesterification and separation using this new process. Overall, the study contributes to the utilization of waste oils to produce renewable energy and to minimize the waste management problem.

Multi-Criteria Optimization of the Paper Production Process Using Numerical Taxonomy Methods: A Necessary Condition for Predicting Heat and Electricity Output in a Combined Heat and Power (CHP) System

The subject of this study is the optimization of the paper production process in one of Poland’s leading paper mills. In addition to its primary objective of paper production, the company generates heat and electricity for internal consumption and external clients, including the local municipality. Surplus energy may be sold on the power exchange; however, this requires forecasting the quantity of energy to be sold 24 h in advance, which introduces an element of uncertainty. Production stoppages, often caused by random events such as paper breakage, force a power decrease in the CHP system, further complicating energy forecasting. To minimize the occurrence of such events, numerical taxonomy methods were employed to determine the optimal screen speed (Vs) and winding speed (Vn) for two paper machines, based on the type and weight of the paper produced. This analysis utilized detailed daily data collected by the company over the period 2015–2020. The findings contribute to minimizing the occurrence of paper roll tearing, thereby reducing the risk of inaccurate forecasts of the energy and heat produced by the CHP system. Furthermore, the methodology employed in this study may be effectively applied to other optimization problems in industrial processes.

Concentrated C2+ Alcohol Production Enabled by Post-Intermediate Modulation and Augmented CO Adsorption in CO Electrolysis.

The electrocatalytic synthesis of multicarbon products from CO2/CO feedstock represents a sustainable method for chemical production with a reduced carbon footprint. Traditional copper catalysts predominantly produce alkenes, but generating valuable and versatile C2+ alcohols, especially high-energy-density C3 alcohols, has been challenging due to issues with selectivity, activity, and stability. Here, we present the construction of Ru-doped Cu nanowires that enhance the selectivity of n-PrOH and C2+ alcohols. In situ Raman spectroscopy shows that our approach promotes both *CO binding and availability, particularly facilitating the formation of high-frequency-bound *CO (*COHFB) and maintaining multiple *CO adsorption modes on Ru-modified and bare low-coordinated Cu nanowires. Density-functional theory (DFT) simulations illustrate that introducing Ru species onto a low-coordinated Cu step surface simultaneously stabilizes CO and alcohol-related intermediates, shifting the dominant reaction pathway toward alcohols and facilitating CO-C2 coupling at the expense of ethylene selectivity. In an alkaline gas-diffusion electrolyzer, we attained a maximum Faradaic efficiency (FE) of 35.9% for n-PrOH and 62.4% for the total C2+ alcohols. Optimizing parameters in the membrane electrode assembly (MEA) system enabled the one-pot generation and separation of C2+ alcohols, achieving a record concentration of 18.8 wt % (4.2 wt % n-PrOH and 14.6 wt % EtOH) with nearly 100% purity at 200 mA/cm2 over 100 h. This work not only provides new insights and guidance for the development of future catalysts from the perspectives of surface science and mechanisms but also highlights the importance of coupling material engineering with reactor engineering to optimize the production process of high-value alcohol products.

THE EFFECT OF CEMENT KILN DUST ON THE PROPERTIES OF CEMENT

Due to the nature of the technological process, the cement industry is a significant source of dust. Managing industrial waste is a global problem worldwide; cement kiln dust is an example of such waste. The dust from the cement kiln is a by-product of the cement production process obtained during the grinding and burning of the raw materials inside the cement kiln. Still, due to its high alkaline content, it cannot be returned to the kiln, but its disposal and landfill can cause many environmental problems. It is necessary to find alternative methods for its utilization. Due to its fineness and composition like that of cement, there is a growing interest in the use of this powder as a partial substitute for ordinary Portland cement. The purpose of this paper is to investigate the influence of dust obtained during the production of cement clinker on the properties of cement (specific surface area, standard consistency, setting time, and compressive strength) and its implications in the conditions of its application.

Modeling the Production Process of Lignin Nanoparticles Through Anti-Solvent Precipitation for Properties Prediction

Global warming has recently intensified research interest in renewable polymer chemistry, with significant attention directed towards lignin nanoparticle (LNP) synthesis. Despite progress, LNP industrial application faces challenges: (1) reliance on kraft lignin from declining raw biomass processes, (2) sulfur-rich and condensed lignin use, (3) complex lignin macroparticles to LNP conversion, using harmful and toxic solvents, and, above all, (4) lack of control over the LNP production process (i.e., anti-solvent precipitation parameters), resulting in excessive variability in properties. In this work, eco-friendly LNPs with tailored properties were produced from a semi-industrial organosolv process by studying anti-solvent precipitation variables. Using first a parametric and then a Fractional Factorial Design, predictions of LNP sizes and size distribution, as well as zeta-potential, were derived from a model over beech by-products organosolv lignin, depending on initial lignin concentration (x1, g/L), solvent flow rate (x2, mL/min), antisolvent composition (x3, H2O/EtOH v/v), antisolvent ratio (x4, solvent/antisolvent v/v), and antisolvent stirring speed (x5, rpm). This novel chemical engineering approach holds promise for overcoming the challenges inherent in industrial lignin nanoparticle production, thereby accelerating the valorization of lignin biopolymers for high value-added applications such as cosmetics (sunscreen or emulsion) and medicine (encapsulation, nanocarriers), a process currently constrained by significant limitations.

Raw Material Management Strategy in The Production Process of Tos-Tos Tortilla Chips (Case Study at PT Dua Kelinci)

PT Dua Kelinci is a company based in Pati that operates in the food industry. The purpose of this study is to analyze the raw material management strategy in the production process within PT Dua Kelinci’s Tos-tos Tortilla Chips division. The focus of this study is the role of the production supervisor in managing raw materials and ensuring efficient processes. This study employed a qualitative descriptive method, utilizing primary data collected through interviews. The data was then analyzed through data reduction, data presentation, and conclusion drawing. The findings of the study indicate that PT Dua Kelinci implements its raw material management strategy by (1) following a production process in accordance with work guidelines that outline monthly food orders, (2) recording input and output materials for accurate tracking, and (3) sourcing materials based on the quantity and variety of food orders, ensuring timely procurement of required flavors. This approach ensures a smooth production process, helps maintain product quality, and fulfills customer demands. Efficient management of raw materials not only reduces the likelihood of production delays but also ensures operational stability and cost control. The study concludes that strategic raw material management is essential for sustaining production efficiency and product quality at PT Dua Kelinci.

The Influence of In-Mould Annealing and Accelerated Ageing on the Properties of Impact-Modified Poly(Lactic Acid)/Biochar Composites

In the last few decades, a large number of natural additives have been analysed in connection with the improvement of the properties of poly(lactic acid) (PLA) bioplastic materials. This article comprehensively analyses the applicability of a highly stable and progressive multifunctional additive produced from renewable resources—biochar. The effect of biochar on the structural development and various thermo-mechanical properties was evaluated as a function of the biochar size and volume, addition of an impact modifier and in-mould annealing during injection moulding. In addition, the effect of accelerated ageing on the change in properties was also analysed. The evaluated results showed a significant influence of the particle size and biochar content on the properties of PLA biocomposites. However, the crucial aspect was the production process with a higher mould temperature and longer production time. Consequently, the effect of additives with adjusted processing worked synergistically on the performance of the resulting biocomposites. The accelerated ageing process did not induce any significant changes in the mechanical, impact and heat resistance behaviour of neat PLA. On the other hand, significant effects on the behaviour of the modified PLA biocomposites were observed. Impact-modified PLA achieved a toughness of 28 kJ/m2, an increase of 61% compared to neat PLA. Similar observations were made when submicron biochar was incorporated into the PLA matrix (a 22% increase with PLA/5B1). These increases were even more pronounced when injected into a 100 °C mould. Due to the synergistic effect, excellent impact toughness results of 95 kJ/m2 (a 428% increase) were achieved with PLA/IM/5B1. Moreover, these results persisted even after accelerated ageing.

A Comparative Study of the Physio-Mechanical Properties of Iron Fillings and Mild Steel Chips in Reinforced Particleboard

This study compared the physio-mechanical characteristics of mild steel chips and iron fillings on sawdust-produced particleboard to regular particleboard made from sawdust alone, using identical production conditions. Particle board was made using 1.18mm sawdust, 3mm mild steel chips, and iron filler with diameters of 0.15mm, 0.425mm, 0.6mm, 1.18mm, and 2.0mm. 70g of sawdust, 40g of iron fillings, and 40g of mild steel chips were used in the production process. 50ml urea formaldehyde was used as a binder. The atomic absorption spectroscopy was determined for iron fillings and mild steel chips. Particleboards were produced at a temperature of 160°C and a pressure of 20 tons for 15 minutes. Mechanical property tested indicates that particleboard containing iron filings has a lower Modulus of rupture (MOR) because the size of the iron filings in the particleboard reduces as the MOR increases. The particle size of iron filling with the value of 2.0mm had the least MOR of 3.99mpa/m2 in iron filling samples. The MOR of Mild steel chips was higher compared to all the samples analyzed. Modulus of Elasticity (MOE) of particleboard produced from iron filings increases as the particle sizes of iron filings increases. The samples containing iron filings alone showed the highest MOE of 244.89 MPa/m2 for 2.0 mm particle board, while the ones containing mild steel chips had the highest MOE of 282.82 MPa/m2 across all samples, suggesting their strength as reinforcement. The rate of water absorption and thickness of swell of particleboard produced from iron filings increases as the size of the iron fillings increase.

Improvement of the functional layouts of multifunctional soil-cultivating sowing units

BACKGROUND: With the technology evolution, the use of combined machines and units has become more in demand. From the numerous studies that were carried out during the operation of machines of this type, it can be seen that the cost of raw materials and financial costs have been significantly reduced, and the number of other advantages has been identified as well. AIM: Improvement of the functional layouts of multifunctional tillage sowing units for a more optimal combination of structural layouts and parameters of its use. METHODS: Engineers use the method of changing working bodies designed as layouts aiming to turn the machines into the modules capable of performing various types of operations based on working conditions. Thanks to this method, sets of individual working bodies and combinations are prepared for any kind of conditions (soil, climate, etc.). In addition to the advantages, this system has a number of disadvantages. One of these is that at the factory-built modules that are part of the original basis of the unit cannot be fully adapted to environmental conditions and economic factors of production. In this regard, combination of structural layouts and selection of the necessary parameters become problem causing. It is difficult to choose necessary parameters that are capable of ensuring minimal losses and adjusting the unit to the necessary operating mode. The objects of study are the devices and production processes, the main task of which is performing tillage and sowing operations. The practical value of this study presented in the form of: building the algorithm capable of structuring the analysis and synthesis of the structural layout of the tillage-sowing unit to find the working links for various types of unit functions; finding the methods and improved combinations of working bodies, comparison of similar mechanical analogues with the original properties of systems. RESULTS: When studying the studies of Wilde, who gave a description of the combined units, as well as the studies of Runchev, who determined the generalization of the combined machines, the relevant typology of agricultural machinery was developed. In this typology, one of the most important characteristics is multifunctionality, which has developed from the need for the versatility of units and the compilation of combinations of several units. The developed technology contains a number of characteristics that are fundamental for the choice of agricultural machinery. CONCLUSION: As a result of the study, it was determined at which velocity of the unit the system is balanced.

Rooting Conditions for Production of Guarana Clonal Seedlings

The guaraná tree is a species known for the stimulating properties found in its seeds, leading to increased consumption and promising production. Cultivation is primarily carried out in family farming systems, and one of the challenges in the production process is the acquisition of seedlings. The conventional nursery system, which employs intermittent misting for the production of guaraná clones, raises the cost of seedlings, necessitating the exploration of alternatives to this approach. The aim of this study was to evaluate different conditions as alternatives to the conventional nursery system for rooting guaraná cuttings. The experimental design was entirely randomized, featuring three guaraná genotypes, BRS Maués, BRS CG 611, and BRS Luzeia, alongside two rooting conditions, the conventional nursery and a humid chamber with nebulization, with four repetitions. The rooting of guaraná clones was significantly influenced by the interaction between conditions and genotypes. The humid chamber with nebulization demonstrated superior root system characteristics among the tested conditions, with a rooting rate of 56.66% for BRS Luzeia. This method proved to be efficient and accessible for small producers, making it a satisfactory option for rooting guaraná trees.