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Section: mne
Identifying and Addressing Supply Chain Data Gaps: Impacts on Predictive Quality and CTQ Parameter Management in EV Battery Production
by Sundararaman Ganapathiraman, Sumedha Vijayaram Kumar, Akshaya Bharadhwaj, Suresh N, Ramitha Sundar and Phani Kumar Pullela
Journal of Engineering Research and Sciences, Volume 5, Issue 8, Page # 28-35, 2026; DOI: 10.55708/js0508002
Abstract: The supply chains for electric vehicles (EVs) have data gaps that hinder traceability, predictive quality control, and management of Critical-to-Quality (CTQ) parameters such as energy capacity, electrode uniformity, thermal stability, state of charge/health, and recyclability. This systematic literature review collates research on raw-material sourcing, manufacturing, in-use monitoring, secondlife applications, and recycling. Following a documented PRISMA-style… Read More
(This article belongs to the Special Issue on Special Issue on Digital and Engineering Transformations in Science and Technology (SI-DETST-26) and the Section Manufacturing Engineering (MNE))
Cavity Sensing for Defect Prevention in Injection Molding
by Oumayma Haberchad and Yassine Salih-Alj
Journal of Engineering Research and Sciences, Volume 4, Issue 5, Page # 10-19, 2025; DOI: 10.55708/js0405002
Abstract: Real-time monitoring of injection molding parameters plays a pivotal role in enhancing product quality, reducing defects and improving production. This study presents a cavity data acquisition system for real time monitoring of process parameters inside the mold. The system consists of non-destructive in-mold sensors that monitor the status of the melt within the cavities. Furthermore,… Read More
(This article belongs to the Special Issue on Special Issue on Computing, Engineering and Sciences 2024-25 and the Section Manufacturing Engineering (MNE))