Jul 2026· The International Journal of Advanced Manufacturing Technology· Vol 145, pp. 6139 - 6177· 0 citations· 118 references
TL;DR
Typical integration pathways for various AI methods in multi-source data fusion, physical constraint modeling, and real-time control are summarized, analyzing strengths, weaknesses, and applicability under complex operating conditions.
A primary machining operation in today's manufacturing is CNC turning; the optimization of process parameters affects the quality of products manufactured, productivity, and ultimately the cost of manufacturing for all manufactured parts. A systematic review that examines the development and effectiveness of various pa...
Mangesh Patil, Munna Verma, Pundalik Patil et al.· international journal of eng...· 0 citations
Additive Manufacturing (AM) has grown from a rapid-prototyping tool into a legitimate production technology, yet its broader industrial adoption continues to be constrained by process variability, stochastic defect formation, and the near-impossibility of mapping complex Process Structure Property (PSP) relationships t...
Sarvesh Deshpande, Sahas Walvekar, V. Tiwary et al.· Journal of Advanced Manufact...· 0 citations
This review focuses on the use of these data-driven approaches in optimizing complex
chemical processes using artificial intelligence. Non-linear reactions, multivariable control
parameters and high energy demand require advanced optimization techniques in industrial
chemical systems. With the increased availability of...
A. Kurhade, N. A. Balaji, P. Ramani et al.· ITEGAM- Journal of Engineeri...· 0 citations
This review presents a comprehensive and integrated analysis of hydroforming process design by examining the fundamental principles of sheet and tube hydroforming, the influence of key process parameters on forming performance, and recent advances in numerical modeling for process prediction and defect analysis.
A. Ibrahim· Open Access Research Journal...· 0 citations
The development of AI-enabled advisory systems for casting processes are presented, integrating singular value decomposition (SVD)-based reduced-order models with a Variational Autoencoder with Arbitrary Conditioning (AC-VAE) and hybrid simulation frameworks to support real-time process prediction and optimization.
Sofija Milicic, A. Horr, S. Elgeti et al.· Processes· 0 citations
: Traditional new material synthesis predominantly adopts an empirical trial-and-error R&D model, which suffers from deficiencies such as insufficient standardization of process flows, complex parameter coupling mechanisms, prolonged development cycles, and poor preparation stability, making it difficult to meet the de...
Zhong-Qian Wu, Tuo Wang· The Frontiers of Society, Sc...· 0 citations
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