scholarly journals Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

2021 ◽  
Vol 13 (4) ◽  
pp. 1929
Author(s):  
Yongmao Xiao ◽  
Wei Yan ◽  
Ruping Wang ◽  
Zhigang Jiang ◽  
Ying Liu
Keyword(s):  
Optimization Model ◽  
Optimization Design ◽  
Design Method ◽  
Low Cost ◽  
Route Optimization ◽  
Low Carbon ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Blank Design ◽  
Process Route

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

Multi-Objective Optimal Design of a Double Circular Gear Based on the Differential Evolution Algorithm

2014 ◽  
Vol 977 ◽  
pp. 365-369
Author(s):  
Li Mei Zou ◽  
Bo Guo ◽  
Xue Yi Qian
Keyword(s):  
Differential Evolution ◽  
Optimization Design ◽  
Design Method ◽  
Optimization Technique ◽  
Differential Evolution Algorithm ◽  
Research Process ◽  
Multi Objective Optimization ◽  
Design Quality ◽  
Multi Objective ◽  
Technical And Economic Indicators

In order to improve the comprehensive technical and economic indicators of a double circular gear, based on the conjugate principle and design method of the double circular gear, by use of the modified differential evolution multi-objective optimization technique and MATLAB computer simulation technology, constrained multi-objective optimization design of a double circular gear was done. According to the research process and results, by use of the improved differential evolutionary multi-objective optimization technique, the design cycle of product can be shorten effectively, the design quality of product can be improved.

scholarly journals Energy Saving and Low-Cost-Oriented Design Processes of Blank’s Dimensions Based on Multi-Objective Optimization Model

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 811 ◽  
Author(s):  
Yongmao Xiao ◽  
Qingshan Gong ◽  
Xiaowu Chen
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Optimization Model ◽  
Low Cost ◽  
Minimum Cost ◽  
Processing Parameters ◽  
Multi Objective Optimization ◽  
Nsga Ii ◽  
Multi Objective ◽  
Set Up

The blank’s dimensions are an important focus of blank design as they largely determine the energy consumption and cost of manufacturing and further processing the blank. To achieve energy saving and low cost during the optimization of blank dimensions design, we established energy consumption and cost objectives in the manufacturing and further processing of blanks by optimizing the parameters. As objectives, we selected the blank’s production and further processing parameters as optimization variables to minimize energy consumption and cost, then set up a multi-objective optimization model. The optimal blank dimension was back calculated using the parameters of the minimum processing energy consumption and minimum cost state, and the model was optimized using the non-dominated genetic algorithm-II (NSGA-II). The effect of designing blank dimension in saving energy and costs is obvious compared with the existing methods.

Multi-Objective Optimization Design Method for Tandem Compressor Cascade at Design and Off Design Conditions

2010 ◽  
Author(s):  
Yaping Ju ◽  
Chuhua Zhang
Keyword(s):  
Optimization Design ◽  
Design Method ◽  
Pressure Ratio ◽  
Aerodynamic Performance ◽  
Multi Objective Optimization ◽  
Ann Model ◽  
Compressor Cascade ◽  
Control Cost ◽  
Multi Objective ◽  
Operation Conditions

Recently, there has been a renewed interest in the research of tandem compressor cascades due to the high stage pressure ratio and low control cost. Firstly, the computational fluid dynamics (CFD) method is employed to examine the particular aerodynamic performance of the tandem cascade. Then we propose an automatic multi-objective optimization design method of the tandem cascade for the superior aerodynamic performance under the multiple operation conditions. Particular efforts have been devoted to the gap geometry optimization in terms of the front and aft airfoil relative position, camber turning ratio as well as chord ratio. The multi-objective optimization algorithm comprises a refined multi-objective genetic algorithm (MOGA) and a developed artificial neural network (ANN) model which is used to fast approximate the aerodynamic performance of the tandem cascade. The results show that the tandem cascade outperforms the single cascade in terms of producing higher pressure ratio and lower losses while the operation range is rather narrow. The optimized all-better-than (ABT) tandem cascade has its design point performance significantly improved while the operation range slightly widened. We also find that a slight axial proximity and separation of the tandem airfoils are beneficial to widening the positive and negative operation range, respectively. This research is useful to the tandem compressor cascade design in minimizing the stage number of the engine compressors.

Low-carbon product multi-objective optimization design for meeting requirements of enterprise, user and government

2015 ◽  
Vol 103 ◽  
pp. 747-758 ◽  
Author(s):  
Zhi-Zheng Xu ◽  
Yi-Shou Wang ◽  
Zhen-Ru Teng ◽  
Chong-Quan Zhong ◽  
Hong-Fei Teng
Keyword(s):  
Optimization Design ◽  
Low Carbon ◽  
Multi Objective Optimization ◽  
Carbon Product ◽  
Multi Objective

Multi-point and multi-objective optimization design method for industrial axial compressor cascades

2011 ◽  
Vol 225 (6) ◽  
pp. 1481-1493 ◽  
Author(s):  
Y P Ju ◽  
C H Zhang
Keyword(s):  
Optimization Design ◽  
Design Method ◽  
Axial Compressor ◽  
Multi Objective Optimization ◽  
Original Design ◽  
Design Point ◽  
Operating Range ◽  
Multi Objective ◽  
Pressure Loss Coefficient ◽  
Total Pressure Loss Coefficient

Modern aerodynamic optimization design methods for the industrial axial compressor cascade mainly aim at improving both design point and off-design point performance. In this study, a multi-point and multi-objective optimization design method is established for the cascade, particularly aiming at widening the operating range while maintaining good performance at the acceptable expense of computational load. The design objectives are to maximize the static pressure ratio and minimize the total pressure loss coefficient at the design point, and to maximize the operating range for the positive and negative incidences. To alleviate the computational load, a design of experiment (DOE)-based GA–BP-ANN model is constructed to rapidly approximate the cascade aerodynamic performance in the optimization process. The artificial neural network (ANN) is trained by the genetic algorithm (GA) technique and back propagation (BP) algorithm, where the training cascades are sampled by the DOE method and analysed by the computational fluid dynamics method. The multi-objective genetic algorithm is used to search for a series of Pareto-optimum solutions, from which an optimal cascade is found out whose objectives are all better than (ABT) those of the original design. The ABT cascade is characterized by the lower camber and higher turning angle, leading to better aerodynamic performance in a widened operating range. Compared with the original design, the ABT cascade decreases the total pressure loss coefficient by 1.54 per cent, 23.4 per cent, and 7.87 per cent at the incidences of 5°, −9°, and 13°, respectively. The established optimization design method can be extended to the three-dimensional aerodynamic design of axial compressor blade.

Multi-Objective Optimization Design of Vibration Screener Support Spring Parameters with Vibration Mechanics

2012 ◽  
Vol 252 ◽  
pp. 144-148
Author(s):  
Ling Qin Meng ◽  
Zhi Wei Wang
Keyword(s):  
Optimal Design ◽  
Optimization Design ◽  
Building Materials ◽  
Design Method ◽  
Optimization Theory ◽  
Penalty Function Method ◽  
Multi Objective Optimization ◽  
Vertical Stiffness ◽  
Multi Objective ◽  
Future Design

Vibration screener is an important mechanism which is widely applied to metallurgy, building materials, chemical industry, grain, mine, etc. On the basis of deeply studying work principle and support structure of vibration screener, the paper conducts ZKB Linear vibration screener as study object. According to mass of vibration, vertical stiffness, horizontal stiffness, vertical amplitude, horizontal amplitude, and free high of vibration screener support spring, the paper conducts the lightest weight of support spring and the biggest fatigue safety factor as the objective function of multi-objective optimization design to establish a series of constraints. Then using of the penalty function method of optimization theory , the paper gets the optimal design results of support spring and gives the optimal design dimensions, which provides a reliable design method of support spring for the future design of vibration screener and reduce the blindness of the design .

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