Research on action sequence optimization method of Micro-Crystal resonator spot welding device

2020 ◽  
Vol 565 (1) ◽  
pp. 164-172
Author(s):  
Li Yumei ◽  
Li Gangyan ◽  
Hu Jian ◽  
Hu Xiaohua
Keyword(s):  
Spot Welding ◽  
Optimization Method ◽  
Sequence Optimization ◽  
Action Sequence ◽  
Crystal Resonator

A cutting sequence optimization method based on tabu search algorithm for complex parts machining

2018 ◽  
Vol 233 (3) ◽  
pp. 745-755 ◽  
Author(s):  
Chuanwei Zhang ◽  
Feiyan Han ◽  
Wu Zhang
Keyword(s):  
Tabu Search ◽  
Tool Path ◽  
Search Algorithm ◽  
Optimization Method ◽  
Traveling Salesman ◽  
Tabu Search Algorithm ◽  
Rough Machining ◽  
Sequence Optimization ◽  
Cutting Sequence ◽  
Complex Parts

Defining the cutting sequence of each cutter scientifically in the process of removing the allowance has an important influence on the machining efficiency for complex parts, which have multiple machining features. In order to satisfy the needs of high efficiency for rough machining, after determining the tool path of the machining region, a cutting sequence optimization method based on the tabu search algorithm is presented to define the cutting order in rough machining of complex parts. First, a cutting sequence optimization mathematical model is established, which relates to the shortest total length of the tool path. Second, through the problem analysis, the cutting sequence optimization model is converted into an open and constrained traveling salesman problem. And then, the optimization model is solved by dealing with an open and constrained traveling salesman problem using the tabu search algorithm. Finally, the optimal cutting sequence of machining a casing part is calculated, and a simulation and experiment are carried out. The result shows that the optimization approach presented in this article can optimize the cutting sequence and cutter position of advance and retract. Compared with the non-optimized cutting sequence method, the total length of tool path is reduced by 16.7%, the cutter lifting times are reduced to 26, and the efficiency is increased by 21.62%.

scholarly journals Energy principle and material removal sequence optimization method in machining of aircraft monolithic parts

2020 ◽  
Vol 33 (10) ◽  
pp. 2770-2781
Author(s):  
Yinfei YANG ◽  
Longxin FAN ◽  
Liang LI ◽  
Guolong ZHAO ◽  
Ning HAN ◽  
...  
Keyword(s):  
Material Removal ◽  
Optimization Method ◽  
Energy Principle ◽  
Sequence Optimization

Efficient Spot Welding Sequence Optimization in a Geometry Assurance Digital Twin

2020 ◽  
Vol 142 (10) ◽  
Author(s):  
Roham Sadeghi Tabar ◽  
Kristina Wärmefjord ◽  
Rikard Söderberg ◽  
Lars Lindkvist
Keyword(s):  
Spot Welding ◽  
Welding Process ◽  
Combinatorial Problems ◽  
Optimal Sequence ◽  
Sequence Optimization ◽  
Digital Twin ◽  
Final Assembly ◽  
Geometrical Quality ◽  
Welding Sequence ◽  
The Individual

Abstract A digital twin for geometry assurance contains a set of analyses that are performed to steer the real production for securing the geometry of the final assembly. In sheet metal assemblies, spot welding is performed to join the parts together. The sequence of the welding has a considerable influence on the geometrical outcome of the final assembly. In industry, the sequence of welding to secure the geometry is mainly derived by tacit manufacturing knowledge. Including such knowledge to mimic the production process requires extensive knowledge management, and the result might be just a good enough solution. Theoretically, spot welding sequence optimization for the optimal geometrical quality is among NP-hard combinatorial problems. In a geometry assurance digital twin, where assembly parameters are selected for the individual assemblies, time constraints define the quality of the optimal sequence. In this paper, an efficient method for spot welding sequence optimization with regards to the geometrical quality is introduced. The results indicate that the proposed method reduces 60–80% of the time for the sequencing of the spot welding process to achieve the optimal geometrical quality.

Reinforcement Design for Composite Laminate with Large Cutout by a Genetic Algorithm Method

2013 ◽  
Vol 631-632 ◽  
pp. 754-758
Author(s):  
Zhong Lei Sun ◽  
Mei Ying Zhao ◽  
Li Long Luo
Keyword(s):  
Genetic Algorithm ◽  
Optimization Method ◽  
Stacking Sequence ◽  
Sequence Optimization ◽  
Selection Probability ◽  
Stacking Sequence Optimization ◽  
Simple Genetic Algorithm ◽  
New Strategy ◽  
Genetic Algorithm Method ◽  
Reinforcement Design

A dual-zone reinforcement ply stacking sequence optimization method used for comosite laminate with large cutout is present. The optimization method utilized a new Genetic Algorithm. The new Genetic Algorithm introduced a new strategy which can improve the efficiency of the traditional Genetic Algorithm and overcome the shortages of the worse convergency and prematurity of the Simple Genetic Algorithm. In the new Genetic Algorithm, the selection probability and the mutation probability are self-adaptive. Compared with the Simple Genetic Algorithm, the new Genetic Algorithm method shows good consistency, fast convergency and practical feasibility. By using the new Genetic Algorithm, the reinforcement ply stacking sequence optimization method got reasonable symmetric and balance stacking sequence which could meet the design requirements.

Intelligent Sequence Optimization Method for Hole Making Operations in 2M Production Line

2019 ◽  
pp. 339-355
Author(s):  
Thanveer Ahammed ◽  
Jaber Abu Qudeiri ◽  
Abdel-Hamid Mourad ◽  
Aiman Ziout ◽  
Faris Safieh
Keyword(s):  
Production Line ◽  
Optimization Method ◽  
Sequence Optimization ◽  
Hole Making

scholarly journals Simultaneous Shape and Stacking Sequence Optimization of Laminated Composite Free-Form Shells Using Multi-Island Genetic Algorithm

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Bingbing San ◽  
Zhi Xiao ◽  
Ye Qiu
Keyword(s):  
Genetic Algorithm ◽  
Discrete Optimization ◽  
Laminated Composite ◽  
Optimization Method ◽  
Free Form ◽  
Stacking Sequence ◽  
Control Points ◽  
Two Phase ◽  
Sequence Optimization ◽  
Stacking Sequence Optimization

A simultaneous shape and stacking sequence optimization algorithm is presented for laminated composite free-form shells, by which the coupled effect of shape and stacking sequence can be considered. The optimization objective is determined as maximizing fundamental natural frequency to obtain largest stiffness of shells. Nonuniform rational B-spline (NURBS) is employed to represent free-form geometrical shapes. The coordinates of NURBS control points and fiber orientations are set up as continuous and discrete optimization variables, respectively, and optimized simultaneously. To improve the efficiency of the mixed continuous-discrete optimization, multi-island genetic algorithm (MIGA) is employed to search for the global result. Through several numerical examples, the performance of the proposed approach is demonstrated in comparison with the two-phase optimization method; the effect of boundary conditions and the setup of control points on optimal results are investigated, respectively.

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