Hasil untuk "Manufactures"

V. Suri, D. Chapman

C. Vauthier, K. Bouchemal

A. Rathore, H. Winkle

X. Chai

M. Ho, Hao Wang, J. Lee et al.

R. Wauthlé, B. Vrancken, Britt Beynaerts et al.

C. Joung, John Carrell, P. Sarkar et al.

Danfang Chen, S. Heyer, S. Ibbotson et al.

One of the hot topics currently in manufacturing domain is direct digital manufacturing. With introduction of cheap three-dimensional printers, the direct digital manufacturing seems to become a new manufacturing paradigm with an entirely different impact on society; nevertheless how this will impact the society and the differences between the paradigms are unclear. According to this background, this paper presents a comprehensive analysis of direct digital manufacturing from different perspectives in comparison to various traditional manufacturing paradigms. Authors are using a societal viewpoint to see, describe and analyse the subject instead of traditional manufacturing viewpoint. For the better understanding of direct digital manufacturing origins, a classification and historical background about available techniques are described. Furthermore, direct digital manufacturing as a paradigm is analysed and compared with craft production, mass production and mass customisation. Direct digital manufacturing's sustainability aspects related to social, economical and environmental dimensions are gathered and analysed for a better insight of this technique. A detailed case study demonstrates the energy use differences of direct digital manufacturing and mass production in depth. According to the present work, direct digital manufacturing has the possibility of combining the advantages of the other production paradigms and can have a positive impact on sustainable development; yet, there are several challenges to overcome both in technical and sociality aspects. A challenge within the social aspects can be the life style changes which can impact the job market, working environment, waste management and more.

A. Leon, Qiyi Chen, Napolabel B. Palaganas et al.

M. Eberhardt, F. Teal

Zhi Li, Shuai Shao, Xunpeng Shi et al.

Abstract Natural resource endowment has a significant influence on manufacturing structure which in turn influences CO2 emissions. This paper investigates the effect of the rationalization and upgrading of manufacturing structure on carbon dioxide emissions in China, based on the perspective of natural resource dependence. The results of the STIRPAT model on provincial panel data of the manufacturing sector from 2003 to 2014 show that manufacturing structure rationalization and upgrading will help curb CO2 emissions, while such effects are restricted by a region's reliance on natural resources. The panel threshold model estimations further indicate that the greater the ratio of industrial output to GDP, the weaker the restricting effect of resource dependence on the emissions reduction of manufacturing structure. These findings reveal that the development strategies of manufacturing structural rationalization and upgrading that aim to reduce emissions depend on the level of a region's resource dependence and industrialization.

S. Hasanov, Suhas Alkunte, Mithila Rajeshirke et al.

Additive manufacturing has already been established as a highly versatile manufacturing technique with demonstrated potential to completely transform conventional manufacturing in the future. The objective of this paper is to review the latest progress and challenges associated with the fabrication of multi-material parts using additive manufacturing technologies. Various manufacturing processes and materials used to produce functional components were investigated and summarized. The latest applications of multi-material additive manufacturing (MMAM) in automotive, aerospace, biomedical and dentistry field were demonstrated. Investigation on the current challenges were also carried out to predict the future direction of MMAM processes. It is concluded that the further research and development needed in the design of multi-material interfaces, manufacturing processes and material compatibility of MMAM parts are necessary.

T. Vasconcelos, Sara Marques, José das Neves et al.

Abdullah Barazanchi, Kai Chun Li, Basil Al-Amleh et al.

Samuel Filgueira da Silva, Mehmet Fatih Ozkan, Faissal El Idrissi et al.

Accurate forecasting of state-of-health (SOH) is essential for ensuring safe and reliable operation of lithium-ion cells. However, existing models calibrated on laboratory tests at specific conditions often fail to generalize to new cells that differ due to small manufacturing variations or operate under different conditions. To address this challenge, an uncertainty-aware transfer learning framework is proposed, combining a Long Short-Term Memory (LSTM) model with domain adaptation via Maximum Mean Discrepancy (MMD) and uncertainty quantification through Conformal Prediction (CP). The LSTM model is trained on a virtual battery dataset designed to capture real-world variability in electrode manufacturing and operating conditions. MMD aligns latent feature distributions between simulated and target domains to mitigate domain shift, while CP provides calibrated, distribution-free prediction intervals. This framework improves both the generalization and trustworthiness of SOH forecasts across heterogeneous cells.

Mehmet Budakçı, Serdar Kaçamer, Ferzan Katırcıoğlu

Conventional colorimetric evaluation methods remain inadequate for accurately characterizing scrub-induced color changes on UV-printed and water transfer-printed decorative coatings applied to MDF after chemical resistance testing; therefore, this study proposes an image-based colorimetric characterization approach using an Image Processing-Based Scrub Tester to quantitatively assess such changes under simulated domestic chemical exposure. For this study, 8 mm thick Medium-Density Fiberboard sheets with a bright white, polyvinyl chloride-coated Medium-Density Fiberboard, high-gloss acrylic coating Medium-Density Fiberboard, Medium-Density Fiberboard lam, and Medium-Density Fiberboard sheets treated with polyurethane, cellulose-based, water-based and acrylic paints were utilized. A carbon fiber-patterned organic finish was applied to the surfaces of the pre-treated Medium-Density Fiberboard sample using ultraviolet printing and water transfer printing (WTP) techniques, followed by scrubbing testing with various domestic cleaning agents in compliance with Turkish Standards. As part of the picture evaluation process in this study, digital picture of the samples was captured after and before the scrubbing process. Color measurements were then analyzed based on L*, a*, and b* coordinates, conforming to the Commission Internationale de l'Éclairage (CIE L*a*b*) color system, utilizing a newly developed evaluation technique. From the outcomes of the study, it was observed that the overall color shift of the water transfer printing samples was 124,63% more than the ultraviolet printed samples. To assess the precision of the Image Processing-Based Scrub Tester's color measurement system developed in this research, its results were benchmarked against those from a different color tester. As a result, the findings strongly suggest that the color test analysis performed with Image Processing-Based Scrub Tester, together with the developed software, has the potential to serve as an alternative to industrial testing equipment.

Jikai Liu, Yongsheng Ma

Mikkel Rath Pedersen, L. Nalpantidis, R. Andersen et al.

Keith Pardee, Shimyn Slomovic, P. Nguyen et al.

Synthetic biology uses living cells as molecular foundries for the biosynthesis of drugs, therapeutic proteins, and other commodities. However, the need for specialized equipment and refrigeration for production and distribution poses a challenge for the delivery of these technologies to the field and to low-resource areas. Here, we present a portable platform that provides the means for on-site, on-demand manufacturing of therapeutics and biomolecules. This flexible system is based on reaction pellets composed of freeze-dried, cell-free transcription and translation machinery, which can be easily hydrated and utilized for biosynthesis through the addition of DNA encoding the desired output. We demonstrate this approach with the manufacture and functional validation of antimicrobial peptides and vaccines and present combinatorial methods for the production of antibody conjugates and small molecules. This synthetic biology platform resolves important practical limitations in the production and distribution of therapeutics and molecular tools, both to the developed and developing world.

T. Duda, L. Raghavan

Abstract: 3D Printing or Additive manufacturing is a novel method of manufacturing parts directly from digital model by using layer by layer material build-up approach. This tool-less manufacturing method can produce fully dense metallic parts in short time, with high precision. Features of additive manufacturing like freedom of part design, part complexity, light weighting, part consolidation and design for function are garnering particular interests in metal additive manufacturing for aerospace, oil & gas, marine and automobile applications. Powder bed fusion, in which each powder bed layer is selectively fused by using energy source like laser, is the most promising additive manufacturing technology that can be used for manufacturing small, low volume, complex metallic parts. This review presents overview of 3D Printing technologies, materials, applications, advantages, disadvantages, challenges, economics and applications of 3D metal printing technology.