A systematic approach to model and optimize wear behaviour of castings produced by squeeze casting process
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 …
resistance property. The material wear rate in squeeze casting depends on appropriate …
[HTML][HTML] Minimizing the COVID-19 spread in hospitals through optimization of ventilation systems
The rapid spread of SARS-CoV-2 virus has overwhelmed hospitals with patients in need of
intensive care, which is often limited in capacity and is generally reserved for patients with …
intensive care, which is often limited in capacity and is generally reserved for patients with …
[HTML][HTML] Squeeze casting process modeling by a conventional statistical regression analysis approach
MP GC, P Krishna, MB Parappagoudar - Applied Mathematical Modelling, 2016 - Elsevier
During the casting process, the alloy composition, melt treatment modification, processing
method, and process variables change the microstructure, thereby affecting the mechanical …
method, and process variables change the microstructure, thereby affecting the mechanical …
Numerical simulation and optimization of the melting process for the regenerative aluminum melting furnace
In this study, a coupled heat transfer model for describing the multi-physics process is
successfully established for a representative rectangular regenerative aluminum melting …
successfully established for a representative rectangular regenerative aluminum melting …
Multi-attribute optimization and influence assessment methodology of casting process parameters combined with integrated MADM and Taguchi method
WC Yang, JY Yang, RC Kim, MS Om, UH Kim… - … International Journal of …, 2023 - Springer
Many practical casting process optimization problems are ascribable to multi-attribute
optimization problems with multiple conflicting quality attributes. This paper proposes a …
optimization problems with multiple conflicting quality attributes. This paper proposes a …
[HTML][HTML] Integrated optimization of geometrical parameters and flow variables for industrial incinerator performance improvement
Industrial incinerators play a vital role in waste disposal, yet their operations carry significant
environmental and efficiency consequences. The current study aimed to optimize an …
environmental and efficiency consequences. The current study aimed to optimize an …
Modeling of pressure die casting process: an artificial intelligence approach
JK Kittur, GC Manjunath Patel… - International Journal of …, 2016 - Springer
In the present work, both forward and reverse modeling is carried out for the high pressure
die casting process by utilizing back-propagation neural network (BPNN) algorithm. The …
die casting process by utilizing back-propagation neural network (BPNN) algorithm. The …
Visual analytics as an enabler for manufacturing process decision-making
D Soban, D Thornhill, S Salunkhe, A Long - Procedia Cirp, 2016 - Elsevier
The goal of an optimal manufacturing process is to maximize product performance while
minimizing cost, time, and waste. A critical component of this optimization is the appropriate …
minimizing cost, time, and waste. A critical component of this optimization is the appropriate …
Research on the dynamic evolution of residual stress in thermal processing of diesel engine blocks based on FEM
G Tian, Z Ma, D Zhao, H Zhou, X Jing, Z Xie… - Journal of Mechanical …, 2021 - Springer
The residual stresses (RS) generated during the thermal processing processes such as
casting and heat treatment is one of the fundamental causes of irreversible deformation of …
casting and heat treatment is one of the fundamental causes of irreversible deformation of …
A novel approach to model and optimize qualities of castings produced by differential pressure casting process
D Zhou, Z Kang, C Yang, X Su, CC Chen - International Journal of …, 2022 - Springer
The present study attempts to promote the quality of differential pressure casting component
by two-stage optimization, orthogonal virtual casting and BP neural network. In the first …
by two-stage optimization, orthogonal virtual casting and BP neural network. In the first …