A review on applications of artificial intelligence in modeling and optimization of laser beam machining
AN Bakhtiyari, Z Wang, L Wang, H Zheng - Optics & Laser Technology, 2021 - Elsevier
Laser beam machining (LBM) as an efficient tool for material removal has attracted the
attention of manufacturing industries. Accordingly, there is a great motivation in the modeling …
attention of manufacturing industries. Accordingly, there is a great motivation in the modeling …
Laser beam micromachining (LBMM)–a review
The use of short and ultrashort laser pulses for micromachining application is an emerging
technology. Laser Beam MicroMachining (LBMM) has revolutionized many industries by …
technology. Laser Beam MicroMachining (LBMM) has revolutionized many industries by …
Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011)
In highly competitive manufacturing industries nowadays, the manufactures ultimate goals
are to produce high quality product with less cost and time constraints. To achieve these …
are to produce high quality product with less cost and time constraints. To achieve these …
A review of modeling and simulation of laser beam machining
P Parandoush, A Hossain - International journal of machine tools and …, 2014 - Elsevier
Laser beam machining (LBM) is a widely used thermal advance machining process capable
of high accuracy machining of almost any material with complex geometries. CO 2 and Nd …
of high accuracy machining of almost any material with complex geometries. CO 2 and Nd …
Particle swarm optimisation in designing parameters of manufacturing processes: A review (2008–2018)
TV Sibalija - Applied Soft Computing, 2019 - Elsevier
The evolutionary optimisation algorithms appeared as an effective alternative to
conventional statistical methods that have certain limitations in optimising complex …
conventional statistical methods that have certain limitations in optimising complex …
Multiresponse optimization of abrasive water jet cutting process parameters using TOPSIS approach
N Yuvaraj, M Pradeep Kumar - Materials and Manufacturing …, 2015 - Taylor & Francis
This paper describes how optimization studies were carried out on an abrasive water jet
(AWJ) cutting process with multiresponse characteristics based on Multi Criteria Decision …
(AWJ) cutting process with multiresponse characteristics based on Multi Criteria Decision …
Optimization of modern machining processes using advanced optimization techniques: a review
RV Rao, VD Kalyankar - The International Journal of Advanced …, 2014 - Springer
Thorough literature review of various modern machining processes is presented in this
paper. The main focus is kept on the optimization aspects of various parameters of the …
paper. The main focus is kept on the optimization aspects of various parameters of the …
Multi-objective process optimization for micro-end milling of Ti-6Al-4V titanium alloy
T Thepsonthi, T Özel - The International Journal of Advanced …, 2012 - Springer
Micro-end milling is one of the promising methods for rapid fabrication of features with 3D
complex shapes. However, controlling the micro-end milling process to obtain the desired …
complex shapes. However, controlling the micro-end milling process to obtain the desired …
Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms
The effective optimization of machining process parameters affects dramatically the cost and
production time of machined components as well as the quality of the final products. This …
production time of machined components as well as the quality of the final products. This …
Particle swarm optimization using dynamic tournament topology
Particle swarm optimization (PSO) is a nature-inspired global optimization method that uses
interaction between particles to find the optimal solution in a complex search space. The …
interaction between particles to find the optimal solution in a complex search space. The …