scholarly journals Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors

2018 ◽  
Vol 8 (8) ◽  
pp. 1256 ◽  
Author(s):  
Marvin Mittelstedt ◽  
Christian Hansen ◽  
Pierre Mertiny
Keyword(s):  
Quadratic Program ◽  
Light Rail ◽  
Manufacturing Cost ◽  
Optimization Strategy ◽  
Stored Energy ◽  
Multi Objective Optimization ◽  
Flywheel Rotors ◽  
Multi Objective ◽  
Novel Approach ◽  
Local Improvement

A multi-objective optimization strategy to find optimal designs of composite multi-rim flywheel rotors is presented. Flywheel energy storage systems have been expanding into applications such as rail and automotive transportation, where the construction volume is limited. Common flywheel rotor optimization approaches for these applications are single-objective, aiming to increase the stored energy or stored energy density. The proposed multi-objective optimization offers more information for decision-makers optimizing three objectives separately: stored energy, cost and productivity. A novel approach to model the manufacturing of multi-rim composite rotors facilitates the consideration of manufacturing cost and time within the optimization. An analytical stress calculation for multi-rim rotors is used, which also takes interference fits and residual stresses into account. Constrained by a failure prediction based on the Maximum Strength, Maximum Strain and Tsai-Wu criterion, the discrete and nonlinear optimization was solved. A hybrid optimization strategy is presented that combines a genetic algorithm with a local improvement executed by a sequential quadratic program. The problem was solved for two rotor geometries used for light rail transit applications showing similar design results as in industry.

A Multi-objective Optimization Strategy for Controlling the Structural Properties of Lightweight Mutiphasic PE/EVA Foams

2020 ◽  
pp. 597-601
Author(s):  
Sirwan Ghavami ◽  
Mohammad-Hasan Khademi ◽  
Farkhondeh Hemmati ◽  
Ali Fazeli ◽  
Jamshid Mohammadi-Roshandeh
Keyword(s):  
Structural Properties ◽  
Optimization Strategy ◽  
Multi Objective Optimization ◽  
Multi Objective

A Multi-Objective Optimization Strategy With Priority Ranking of the Design Objectives

1990 ◽  
Author(s):  
Masahide Matsumoto ◽  
Jumpei Abe ◽  
Masataka Yoshimura
Keyword(s):  
Structural Design ◽  
Torsional Rigidity ◽  
Optimization Strategy ◽  
Multi Objective Optimization ◽  
Response Level ◽  
Multi Objective ◽  
Lower Priority ◽  
Priority Ranking ◽  
Priority Order ◽  
Motorcycle Frame

Abstract Generally, two types of priorities are considered among multiple objectives in the design of machine structures. One of these objectives is named the “hard objective”, which is the absolutely indispensable design requirement. The other is called the “soft objective”, which has lower priority order. This paper proposes a multi-objective structural optimization strategy with priority ranking of those design objectives. Further, this strategy is demonstrated on the actual example of a motorcycle frame structural design which has three design objectives, (1) an increase in static torsional rigidity, (2) a reduction of dynamic response level, and (3) a decrease in the weight of the motorcycle frame.

scholarly journals An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FA

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4391
Author(s):  
Zhiyong Li ◽  
Shiping Pu ◽  
Yougen Chen ◽  
Renyong Wei
Keyword(s):  
Optimization Model ◽  
Power Loss ◽  
Optimal Solution ◽  
Loss Ratio ◽  
Optimization Strategy ◽  
Multi Objective Optimization ◽  
Line Voltage ◽  
Multi Objective ◽  
Double Frequency ◽  
Voltage Ripple

Setting reasonable circuit parameters is an important way to improve the quality of inverters, including waveform quality and power loss. In this paper, a circuit system of line voltage cascaded quasi-Z-source inverter (LVC-qZSI) is built. On this basis, the double frequency voltage ripple ratio and power loss ratio are selected as optimization targets to establish a multi-objective optimization model of LVC-qZSI parameters. To simplify the calculation, an integration optimization strategy of LVC-qZSI parameters based on GRA-FA is proposed. Where, the grey relation analysis (GRA) is used to simplify the multi-objective optimization model. In GRA, the main influence factors are selected as optimization variables by considering the preference coefficient. Then, firefly algorithm (FA) is used to obtain the optimal solution of the multi-objective optimization model. In FA, the weights of objective functions are assigned based on the principle of information entropy. The analysis results are verified by simulation. Research results indicate that the optimization strategy can effectively reduce the double frequency voltage ripple ratio and power loss ratio. Therefore, the strategy proposed in this paper has a superior ability to optimize the parameters of LVC-qZSI, which is of great significance to the initial values setting.

A multi-objective optimization strategy for energy plants in Italy

2013 ◽  
Vol 443 ◽  
pp. 955-964 ◽  
Author(s):  
Federica Cucchiella ◽  
Idiano D'Adamo ◽  
Massimo Gastaldi
Keyword(s):  
Optimization Strategy ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Energy Plants

A Novel Approach for the Optimal Design of a Vertical Cellular Breakwater Based on Multi-Objective Optimization

2017 ◽  
Vol 59 (4) ◽  
pp. 1750019-1-1750019-23 ◽  
Author(s):  
Lamanto T. Somervell ◽  
Santosh G. Thampi ◽  
A. P. Shashikala
Keyword(s):  
Optimal Design ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Novel Approach
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