Response surface methodology for advanced manufacturing technology optimization: theoretical fundamentals, practical guidelines, and survey literature review

LG De Oliveira, AP de Paiva, PP Balestrassi… - … International Journal of …, 2019 - Springer
Process optimization normally involves the combination of mathematical and statistical
techniques which can be approached by distinct ways. Despite the fact that different …

A review of optimization and measurement techniques of the friction stir welding (FSW) process

DAP Prabhakar, A Korgal, AK Shettigar… - … of Manufacturing and …, 2023 - mdpi.com
This review reports on the influencing parameters on the joining parts quality of tools and
techniques applied for conducting process analysis and optimizing the friction stir welding …

A systematic approach to model and optimize wear behaviour of castings produced by squeeze casting process

MP GC, AK Shettigar, MB Parappagoudar - Journal of manufacturing …, 2018 - Elsevier
The present work is an attempt to produce squeeze cast component with excellent wear
resistance property. The material wear rate in squeeze casting depends on appropriate …

Abrasive water jet machining for a high-quality green composite: the soft computing strategy for modeling and optimization

Jagadish, GCM Patel, TV Sibalija, J Mumtaz… - Journal of the Brazilian …, 2022 - Springer
Recently, the use of green composites in various applications has increased rapidly due
their superior properties. Green composite processing is indeed essential to manufacture …

Parametric optimization for improving impact strength of squeeze cast of hybrid metal matrix (LM24–SiCp–coconut shell ash) composite

M Arulraj, PK Palani - Journal of the Brazilian Society of Mechanical …, 2018 - Springer
This paper mainly focuses on parametric optimization of squeeze cast hybrid (LM24–SiC p–
coconut shell ash) composite through Taguchi method and genetic algorithm. The …

A survey of electromagnetic metal casting computation designs, present approaches, future possibilities, and practical issues

A Raj, S Ram Kishore, L Jose, AK Karn… - The European Physical …, 2021 - Springer
Electromagnetic metal casting (EMC) is a casting technique that uses electromagnetic
energy to heat metal powders. It is a faster, cleaner, and less time-consuming operation …

Experimental analysis and prediction of strength of adhesive-bonded single-lap composite joints: Taguchi and artificial neural network approaches

H Rangaswamy, I Sogalad, S Basavarajappa… - SN Applied …, 2020 - Springer
Adhesive-bonded joints made up of composite materials offer complex structures with the
ease of joining similar or dissimilar materials. The failure behavior of adhesive-bonded joints …

Optimization of solidification in die casting using numerical simulations and machine learning

S Shahane, N Aluru, P Ferreira, SG Kapoor… - Journal of Manufacturing …, 2020 - Elsevier
In this paper, we demonstrate the combination of machine learning and three dimensional
numerical simulations for multi-objective optimization of low pressure die casting. The …

Intelligent optimization design of squeeze casting process parameters based on neural network and improved sparrow search algorithm

J Deng, G Liu, L Wang, G Liu, X Wu - Journal of Industrial Information …, 2024 - Elsevier
Squeeze casting process parameters are the key to squeeze casting production and to
obtain excellent performance casts. To realize intelligent optimization design of process …

A systematic approach to model and optimize qualities of castings produced by squeeze casting process

D Zhou, X Su, C Yang, Z Kang, Z Li - International Journal of Metalcasting, 2023 - Springer
The present study attempts to promote the quality of squeeze casting components by a two-
stage study which includes experimental research of virtual casting based on response …