Robust Adaptable Design of Mechanical Products

2013 ◽  
Author(s):  
Jian Zhang ◽  
Yongliang Chen ◽  
Deyi Xue ◽  
Peihua Gu
Keyword(s):  
Optimal Design ◽  
Functional Performance ◽  
Optimal Parameter ◽  
Design Method ◽  
Optimization Method ◽  
Adaptable Design ◽  
Operation Stage ◽  
Mechanical Products ◽  
Tree Product ◽  
Parameter Values

For an adaptable product, both configuration and parameter values associated with the configuration can be adapted in the product operation stage to satisfy different requirements. This research aims at developing a new design approach to identify the adaptable product whose functional performance is the least sensitive to parameter variations caused by uncertainties. First different configuration candidates in design and different product configurations in operation stage to satisfy design requirements are modeled by a novel hybrid AND-OR tree. Product/operating parameters associated with configurations are also modeled. A two-level optimization method is developed for identifying the optimal design configuration and the parameter values: design configuration optimization for identifying the optimal design configuration and parameter optimization for identifying the optimal parameter values associated with this design configuration. Case study of an adaptable vibratory feeder is developed to demonstrate the effectiveness of the newly developed robust adaptable design method.

Optimal Concurrent Design Based Upon Distributed Database and Knowledge Base Modeling

2001 ◽  
Author(s):  
F. Zhang ◽  
D. Xue
Keyword(s):  
Knowledge Base ◽  
Optimal Parameter ◽  
Distributed Database ◽  
Optimization Method ◽  
Concurrent Design ◽  
Swarm Optimization ◽  
Multi Level ◽  
Realization Process ◽  
Product Realization ◽  
Parameter Values

Abstract This research introduces an optimal concurrent design approach based upon a previously developed distributed database and knowledge base modeling method. In this approach, the product realization process alternatives and relevant activities are modeled at different locations that are connected through the Internet. The optimal product realization process alternative and its parameter values are identified using a multi-level optimization method. Genetic Programming (GP) and Particle Swarm Optimization (PSO) are employed for identifying the optimal product realization process alternative and the optimal parameter values of the feasible alternatives, respectively.

Strength Optimization of Infant Pop-Up Seat Frame Using Discrete Material and Thickness Optimization

2021 ◽  
Vol 11 (3) ◽  
pp. 1-20
Author(s):  
YeongJo Ju ◽  
Euysik Jeon
Keyword(s):  
Optimal Design ◽  
High Strength Steel ◽  
Design Method ◽  
High Strength ◽  
Optimization Method ◽  
Design Criterion ◽  
Thickness Optimization ◽  
Element Analysis ◽  
Strength Design ◽  
Seat Frame

In this paper, the authors proposed an optimal design method for the strength design of infant pop-up seat frame combined with rear seats for infants, children, and adults, not removable booster seats or car seats. Frame strength design was performed using discrete material and thickness optimization (DMTO) method considering high strength steel (HSS) and advanced high strength steel (AHSS). Structural design using the Section 4 link mechanism was performed, and the weakness of the seat frame due to static load was confirmed through finite element analysis. An optimal design criterion was established by carrying out a case study to derive the limiting conditions according to static and dynamic loads. In consideration of these criteria, the optimal design according to d-optimal and discrete Latin-hypercube (DLH) was performed among the design of experiments (DOE). And the strength of the pop-up seat frame for infants according to each DOE was checked, and the strength optimization method was suggested by comparing the lightweight ratio.

An Optimal Design Method for Radar Brackets

2011 ◽  
Vol 328-330 ◽  
pp. 232-236
Author(s):  
Lian Zhong Guo ◽  
Ding Yang ◽  
Zi Teng Huang
Keyword(s):  
Optimal Design ◽  
Conceptual Design ◽  
Phased Array ◽  
Design Method ◽  
Optimization Method ◽  
Design Stage ◽  
Evolutionary Structural Optimization ◽  
Excessive Weight ◽  
Optimal Design Method ◽  
Implementation Method

The purpose of this work is to present an optimal design method for radar brackets to get the lightest structure with stiffness constraint. Current radar brackets usually have conservative strength and excessive weight which influences the mobility of radar greatly as they are not optimized in the conceptual design stage. In this paper the well-known ESO (Evolutionary Structural Optimization) method based on ANSYS is studied and used as the method to optimize them. To begin with the criteria of ESO method and its implementation method are studied. Then a case of optimization for a phased array radar bracket is studied and at last the optimization result is compared to the result by using WORKBENCH (a commercial CAE software) and the comparison shows that this method has its unique superiority.

Graphic Establishment of Crank-Rocker Mechanism Design Based on Optimum Transmission Angle of Optimization Method

2014 ◽  
Vol 945-949 ◽  
pp. 301-305
Author(s):  
Da Yu Huang ◽  
Xiao Lu Wang
Keyword(s):  
Optimal Design ◽  
Mechanism Design ◽  
Design Method ◽  
Practical Method ◽  
Optimization Method ◽  
Transmission Angle ◽  
Optimal Design Method

The paper provides a simple, fast and practical method which follows the rule of maximizing minimum transmission angle to design crank-rocker mechanism. The method which uses the optimal design method is based on the research of papers[1]~[3] . Through the analysis and calculation, the paper gives the conclusion and drawing of k-φ-d-(γmin) max and k-d-a-b.

scholarly journals Robust Control of Electric Tail Reduction System: Uncertainty and Performance Index

2020 ◽  
Vol 11 (1) ◽  
pp. 260
Author(s):  
Kang Huang ◽  
Chao Ma ◽  
Han Zhao ◽  
Zicheng Zhu
Keyword(s):  
Robust Control ◽  
Performance Index ◽  
Optimization Design ◽  
Control Method ◽  
Optimal Parameter ◽  
Design Method ◽  
Optimization Method ◽  
Control Cost ◽  
Reduction System ◽  
Parameter Optimization Design

The electric tail reduction system of the unmanned helicopter contains uncertainty. To solve this problem, a constraint-following approach was applied to design a novel robust control for uncertain mechanical systems. The dynamic model of the uncertain electric tail reduction system was established by combining the load of the electric tail rotor and the flight state of the helicopter. Based on the Udwadia–Kalaba theory, a robust constraint following the control method was proposed to deal with the uncertainty of the system. In addition, to balance the steady-state performance and control cost of the system, a control parameter optimization design method was proposed to minimize the performance index. Furthermore, the unique solution of the optimal parameter can be obtained. Compared with the LQR control method, the effectiveness of the optimization method of robust constraint following control was verified.

Frequency Optimal Design Method and Application

2011 ◽  
Vol 201-203 ◽  
pp. 1279-1283
Author(s):  
Shou Yi Bi ◽  
Xing Pei Liang
Keyword(s):  
Optimal Design ◽  
Design Method ◽  
Mathematical Problem ◽  
Three Dimensional ◽  
Mathematical Optimization ◽  
Element Model ◽  
Optimization Method ◽  
Finite Model ◽  
Design Variables ◽  
Analysis System

A program for frequency optimal design of structure composed of bar, beam, plate is developed based on finite analysis system ZR[1] that finite element model, including mesh generation of truss element, beam element and plate element, is automatically generated. Because of integrated with three dimensional CAD, specification of boundary conditions and design variables can be finished based on the three dimensional CAD model, so user need not deal with nodal and element of finite model in the procedure of forming finite model and specifying mathematical problem for optimization. This paper introduces a new method how to insert the frequency sensitivity analysis process into the structural analysis program, integrate mathematical optimization method and design structure based frequency optimization. The program is applied to the optimal design of actual engineering. The results are acceptable.

An Integrated Framework for Optimal Design of Complex Mechanical Products

2021 ◽  
pp. 1-32
Author(s):  
Deyi Xue ◽  
David Imaniyan
Keyword(s):  
Optimal Design ◽  
Optimal Parameter ◽  
Simulation Method ◽  
Design Solution ◽  
Prototype System ◽  
Hybrid Scheme ◽  
Integrated Framework ◽  
Simulation And Optimization ◽  
Cad System ◽  
Mechanical Products

Abstract The presently achieved research results are not effective for design of complex mechanical products when various methods and tools in different schemes have to be employed at different design stages. A new integrated framework for optimal design of complex mechanical products is introduced in this research considering modeling, simulation and optimization aspects. First, a hybrid scheme is developed for integrated modeling of complex mechanical products. In this hybrid scheme, descriptions of a generic product are modeled by an AND-OR tree. Feasible design candidates are created from the AND-OR tree through tree-based search. Geometric descriptions in a design candidate are associated with a CAD system. Second, a hybrid simulation method is developed for evaluation of different product aspects with different simulation tools which are integrated through the hybrid modeling scheme. Simulations with geometric descriptions are conducted by analysis functions of the CAD system. Simulations with non-geometric descriptions are conducted by the knowledge-based systems. Third, a hybrid optimization method is developed to identify the optimal design of the complex mechanical product. For each design candidate, parameter optimization is conducted to obtain the optimal parameter values. The optimal design solution is identified from all design candidates through configuration optimization. A prototype system has been implemented for conceptual design and detailed design of complex mechanical products.

scholarly journals Membangun Sistem Informasi Penjadwalan Dengan Metode Algoritma Genetika Pada Laboratorium Teknik Informatika Universitas Muhammadiyah Maluku Utara

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Agil Assagaf ◽  
Adelina Ibrahim ◽  
Catur Suranto
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Optimal Parameter ◽  
Optimal Schedule ◽  
Optimization Method ◽  
Computational Approach ◽  
Biological Processes ◽  
Practice Schedule ◽  
Parameter Values ◽  
Number Of Individuals

Abstrak : Penjadwalan praktikum merupakan proses penyusunan jadwal pelaksanaan yang menginformasikan sejumlah mata kuliah, dosen yang mengajar, ruang, serta waktu kegiatan perkuliahan di laboratorium. Perlu diperhatikan beberapa aspek untuk menyusun jadwal perkuliahan yang sesuai dengan kebutuhan. Aspek yang perlu diperhatikan antara lain adalah aspek dari dosen yang mengajar, mata kuliah yang diajar. Penyusunan jadwal secara manual cenderung membutuhkan waktu yang lebih lama dan ketelitian yang cukup bagi pembuat jadwal. Untuk dapat membuat jadwal yang optional, dibutuhkan metode optimasi. Pada penelitian ini, akan diuji coba metode optimasi dalam pembuatan jadwal praktikum yaitu Algoritma Genetika. Algoritma genetika merupakan pendekatan komputasional untuk menyelesaikan masalah yang dimodelkan dengan proses biologi dari evolusi. Parameter-parameter Algoritma Genetika yang mempengaruhi jadwal perkuliahan yang dihasilkan adalah jumlah individu, probabilitas crossover, probabilitas mutasi serta metode seleksi, crossover yang digunakan. Pengujian dilakukan dengan cara mencari nilai parameter-parameter algoritma genetika yang paling optimal dalam jadwal perkuliahan. Hasil penelitian menunjukkan bahwa dengan jumlah generasi, jumlah individu, probabilitas crossover dan probabilitas mutasi dapat menghasilkan jadwal yang paling optimal.Kata kunci: Optimasi, Penjadwalan, Seleksi, Crossover, Mutasi, Algoritma GenetikaAbstract : Practical scheduling is the process of preparation of an implementation schedule that informs a number of courses, lecturers who teach, space, and time of lecture activities in the laboratory. It should be noted several aspects to arrange lecture schedule in accordance with the needs. Aspects that need to be considered include aspects of lecturers who teach, courses taught. Manual scheduling tends to take longer and enough accuracy for the schedule maker. To be able to create an optional schedule, an optimization method is required. In this research, will be tested the optimization method in the preparation of the practice schedule that is Genetic Algorithm. Genetic algorithms are a computational approach to solving problems modeled by biological processes of evolution. The parameters of the Genetic Algorithm affecting the course schedule are the number of individuals, the probability of crossover, the probability of mutation and the method of selection, the crossover used. Testing is done by finding the most optimal parameter values of genetic algorithm in lecture schedule. The results show that with the number of generations, the number of individuals, the probability of crossover and the probability of mutation can produce the most optimal schedule.  Keywords: Optimization, Scheduling, Selection, Crossover, Mutation, Genetic Algorithm

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