Optimizing Lightweight Material Selection in Automotive Engineering: A Hybrid Methodology Incorporating Ashby’s Method and VIKOR Analysis by Edoardo Risaliti, Francesco Del Pero, Gabriele Arcidiacono, Paolo Citti

“…The spectrum of available materials is very large, and the choice needs to be carefully evaluated based on multiple factors, such as mechanical behavior, raw materials cost, the availability of manufacturing processes, and environmental impact. This article presents an innovative methodology for materials selection in the lightweight automotive field based on the Ashby approach for mechanical performance coefficients as an initial filtering criterion. …”
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iPSC Technology Revolutionizes CAR-T Cell Therapy for Cancer Treatment by Jiepu Zong, Yan-Ruide Li

“…However, current CAR-T cell therapy is autologous, which presents challenges related to high costs, time-consuming manufacturing processes, and the necessity for careful patient selection. …”
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Organizational sustainability: the role of environmentally focused practices in enhancing environmental performance—an emerging market perspective by Naveed R. Khan, Falak Malik, Mustafa Rehman Khan, Ismail Khan, Arsalan Mujahid Ghouri

“…Managers are suggested to regularly identify environmental issues relevant to the firm, communicate environmental requirements to suppliers, and implement environmental life cycle assessments to redesign products or manufacturing processes.…”
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Influence of perimeter layers on tension mechanical properties of 3D printed Onyx by Manuel Coca-Gonzalez, Sergio G. Torres-Cedillo, Mariel Alfaro-Ponce, Jacinto Cortés Pérez, Paulina Díaz-Montiel, Moises Jimenez-Martinez

“…Additive Manufacturing has become a vital component of the global economy, revolutionizing manufacturing processes, enhancing mechanical components, and addressing current industry challenges such as increasing production rates. …”
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Impacts and challenges of industry 4.0 in manufacturing: a systematic literature review by Tamires Fernanda Barbosa Nunes, Roselaine Ruviaro Zanini, Ariane Ferreira Porto Rosa, Lizandra Garcia Lupi Vergara

“…The digital transformation proposed by Industry 4.0 is driven by intelligent manufacturing processes, digitalization, flexibility, integration of systems, and real-time analysis of big data generating intelligent processes and services oriented to customer needs. …”
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Addressing fabrication challenges in perovskite-silicon tandem solar cells with advanced simulation techniques by Raman Kumar, Prakash Kanjariya, A. Abu-Jrai, Nagaraj Patil, Mohd Shukri Ab Yajid, Jatinder Kaur, Rahul Singh, P. Vijaya Kumar, Sanjeev Kumar Shah, Mohammad Iqbal Khairandish

“…Thus, in this work, we are using advanced simulation techniques, including Silvaco ATLAS’s Victory Process and Device Simulator to imitate the actual manufacturing processes. Primarily this research work focuses on three scenarios: shunting, planarization and conformal deposition to emulate the experimental conditions. …”
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Financiarisation et classes sociales : introduction au dossier by Benjamin Lemoine, Quentin Ravelli

“…While explaining the issues specific to the definition of a social class, as well as the controversies regarding their realization (or de-realization) in the social and political world, we analyze the manufacturing processes of these classes by the various operations of financialization: indebtedness, financialized savings and asset accumulation. …”
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A Review of Segmented Stator and Rotor Designs in AC Electric Machines: Opportunities and Challenges by Bhuvan Khoshoo, Anmol Aggarwal, Shanelle Foster

“…The use of segmented stator and rotor designs in AC electric machine construction offers several significant advantages, including a high-copper fill factor, increased torque density, improved field-weakening performance, simplified manufacturing processes, and enhanced mechanical strength. …”
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Potential Application of Green Composites for Cross Arm Component in Transmission Tower: A Brief Review by M. R. M. Asyraf, M. R. Ishak, S. M. Sapuan, N. Yidris, R. A. Ilyas, M. Rafidah, M. R. Razman

“…This review focuses on the background of green composites (natural fibres and biopolymers), the manufacturing processes, potential applications in cross arm structures, and testing evaluations. …”
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A Novel FS-GAN-Based Anomaly Detection Approach for Smart Manufacturing by Tae-yong Kim, Jieun Lee, Seokhyun Gong, Jaehoon Lim, Dowan Kim, Jongpil Jeong

“…In this study, we present the few-shot generative adversarial network (FS-GAN) model, which integrates few-shot learning and a generative adversarial network with an unsupervised learning approach (AnoGAN) to address the challenges of anomaly detection in smart-factory manufacturing environments. Manufacturing processes often encounter malfunctions or defective parts that disrupt production and compromise product quality. …”
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An Overview of Computational Models for Industrial Internet of Things to Enhance Usability by Zhen Ying, Iftikhar Ahmad, Saima Mateen, Asad Zia, Ambreen, Shah Nazir, Neelam Mukhtar

“…The Industrial Internet of Things (IIoTs) are revolutionary systems that have linked manufacturing processes with Internet access in order to preciously increase quality of services. …”
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Modelling and measurements of thermally induced residual stress in IN718 nickel-based superalloy during non-uniform quenching by S. Rahimi, M. King, M. Amir Siddiq, B.P. Wynne

“…Residual stress induced during and as a result of manufacturing processes can have a significant impact on the later stages of manufacturing (e.g., machining), and in-service performance (e.g., resistance to fatigue) of a component. …”
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Run-Time Value Chain Analysis and Cost Accounting via Microservices in Agile Manufacturing by Salman Javed, Cristina Paniagua, Imran Javed, Jan van Deventer, Jerker Delsing

“…The rapid evolution of manufacturing processes driven by Industry 4.0 demands systems capable of quickly adapting to dynamic market conditions and evolving customer needs. …”
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Recent Contributions to the Development of Barrel End-Mill Machining Technologies for Titanium Alloys in the Aerospace Context by Alina Bianca Pop, Sandor Ravai-Nagy, Aurel Mihail Titu, Nicolae Medan, Andrei Catalin Filip

“…This study’s conclusions provide a solid foundation for future research into machining titanium alloys with barrel end-mills, contributing to the optimization of manufacturing processes and the enhancement of aerospace component performance.…”
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International Heart Valve Bank Survey: A Review of Processing Practices and Activity Outcomes by Wee Ling Heng, Helmi Albrecht, Paul Chiappini, Yeong Phang Lim, Linda Manning

“…Despite similarities found for basic manufacturing processes, distinct differences in procedural details were also identified. …”
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Unraveling mechanisms of electrolyte wetting process in three-dimensional electrode structures: Insights from realistic architectures by Fei Chen, Tianxin Chen, Zhenxuan Wu, Zihan Zhou, Kunjie Lu, Jinyao Su, Yihua Wang, Jianfeng Hua, Xin Lai, Xuebin Han, Minggao Ouyang, Yuejiu Zheng

“…This study aims to systematically investigate the primary mechanisms influencing electrolyte wetting on porous electrode structures produced through different manufacturing processes. Using advanced X-ray computed tomography, three-dimensional electrode structures are reconstructed, and permeability and capillary action are evaluated as key parameters. …”
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Design for Manufacturing and Assembly: A BIM-Enabled Generative Framework for Building Panelization Design by Hexu Liu, Yuxuan Zhang, Zhen Lei, Hong Xian Li, SangHyeok Han

“…However, the current building panelization design in OSC is a time-consuming and experience-based manual process, and the generated panelization design may result in unbalanced manufacturing processes. One reason is that the prefabrication of building components involves a highly variable product mix and there is a lack of a computational framework to evaluate panelization design. …”
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Quality optimization of liquid silicon lenses based on sequential approximation optimization and radial basis function networks by Hanjui Chang, Shuzhou Lu, Yue Sun, Yuntao Lan

“…This approach not only reduces trial-and-error costs and material waste but also significantly decreases carbon emissions, showcasing extensive potential for application in various manufacturing processes. Simulations varying key parameters—filling time, melt temperature, mold temperature, curing pressure, and curing time—revealed optimal conditions: filling time of 1.57s, melt temperature of 27.18 °C, mold temperature of 150 °C, curing time of 20.02s, and curing pressure of 28.79 MPa. …”
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Simulation of Flow-Induced Vibration and Dynamic Performance of Circular-Arc Helical Gear Pump under Background of Machine Learning by Xiaoling Wei, Yongbao Feng, Xiaoxia Han, Zhenxin He

“…At present, with the continuous development and great improvement of mechanical manufacturing, processing, and assembly technology, mechanical flow-induced vibration (FIV) with a relatively concentrated frequency domain can be controlled by active and passive noise reduction methods. …”
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Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation by Muteb Alanazi, Jowaher Alanazi, Tareq Nafea Alharby, Bader Huwaimel

“…The study explored the role of primary alcohols combined with dichloromethane in improving solubility, emphasizing their industrial relevance in crystallization, purification, and drug manufacturing processes. To complement experimental insights, machine learning models were employed to predict rivaroxaban solubility based on temperature, solvent type, and mass fraction of dichloromethane. …”
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