Add to ORKGThe objective of this chapter is to give an essential presentation on the theory and practice of implementing modeling and optimization techniques to evaluate different manufacturing process for a wide range of materials. This chapter includes comprehensive research works on the Design of Experiments (DoE), and the Artificial Neural Network (ANN) that is widely used to develop a mathematical relationship between the process input parameters and the output
In the vacuum thermoforming process, the group effects of the processing parameters, when related to...
[[abstract]]©1998 Wiley - An experimental design scheme proposed for process and product development...
The NN-DM is a method developed to find a mathematical model that represents the Decision-Maker (DM)...
The objective of this chapter is to give an essential presentation on the theory and practice of imp...
The need for production has roots in human life and its history. This date back to primitive days of...
Today's manufacturing methods are caught between the growing need for quality, high process safety, ...
Additive manufacturing (AM) flourished in the 1980s and it involves the process of making objects la...
Manufacturers address the distinct operational objectives of product innovation and manufacturing ef...
Sustainable manufacturing is connected with the effectiveness of production processes. There are sev...
Today's manufacturing methods are caught between the growing need for quality, high process safety, ...
This article introduces an algorithm for determining optimal parameters of a technological process. ...
In this thesis, Artificial Neural Network (ANN) technique is used to model and simulate the Turning ...
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful comput...
This chapter discusses the application of advanced modelling tools in the plastic forming and proces...
A methodology is presented to optimize the performance of an Artificial Neural Network (ANN) using D...
In the vacuum thermoforming process, the group effects of the processing parameters, when related to...
[[abstract]]©1998 Wiley - An experimental design scheme proposed for process and product development...
The NN-DM is a method developed to find a mathematical model that represents the Decision-Maker (DM)...
The objective of this chapter is to give an essential presentation on the theory and practice of imp...
The need for production has roots in human life and its history. This date back to primitive days of...
Today's manufacturing methods are caught between the growing need for quality, high process safety, ...
Additive manufacturing (AM) flourished in the 1980s and it involves the process of making objects la...
Manufacturers address the distinct operational objectives of product innovation and manufacturing ef...
Sustainable manufacturing is connected with the effectiveness of production processes. There are sev...
Today's manufacturing methods are caught between the growing need for quality, high process safety, ...
This article introduces an algorithm for determining optimal parameters of a technological process. ...
In this thesis, Artificial Neural Network (ANN) technique is used to model and simulate the Turning ...
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful comput...
This chapter discusses the application of advanced modelling tools in the plastic forming and proces...
A methodology is presented to optimize the performance of an Artificial Neural Network (ANN) using D...
In the vacuum thermoforming process, the group effects of the processing parameters, when related to...
[[abstract]]©1998 Wiley - An experimental design scheme proposed for process and product development...
The NN-DM is a method developed to find a mathematical model that represents the Decision-Maker (DM)...