A method of preliminary planning for rotational components with C-axis features using genetic algorithm

Shunmugam, M.S.; Mahesh, P.; Reddy, Sreenivasulu

doi:10.1016/s0166-3615(02)00039-8

Cited by 27 publications

(12 citation statements)

References 18 publications

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“…Zhao et al [12] Tool selection and cutting conditions 2-axis lathe Expert system Prolog IGES with feature recognition Arezoo et al [13] Tool selection and cutting conditions 2-axis lathe Expert system Prolog Syntax descriptions Shunmugam et al [14] Operation sequencing 2-axis lathe Genetic algorithm C++ Interactively entered by user Yildiz et al [15] Tool path generation 2-axis lathe Definition rule of features Delphi 7 DXF with feature recognition for five-axis lathe. Our new system is unique by using rules based expert system and feature concepts to generate process plans for parts requiring both turning and milling processes focusing on 4D & 5D machining features.…”

Section: Goldwork and Common Lispmentioning

confidence: 99%

Intelligent feature based process planning for five-axis mill-turn parts

Waiyagan

Bohez

2009

Computers in Industry

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Section: Goldwork and Common Lispmentioning

confidence: 99%

Intelligent feature based process planning for five-axis mill-turn parts

Waiyagan

Bohez

2009

Computers in Industry

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“…Types of axisymmetric parts final shape generated in the part. A large number of axisymmetric components were studied and various constituent features, classified as external and internal features have been identified [2,10]. These features, together with their types, are shown in Fig.…”

Section: Part Data Representation and Feature Interpretationmentioning

confidence: 99%

“…ACUDATA/UNIVATION, AUTOPLAN, CAPP, COMCAPPV, EXAPT, GETURN, GEN-PLAN, MIAPP, MIPLAN, MITURN, PI-CAPP, RPO, TURN2, XPS-I, ZCAPPS etc. are some of the variant type systems for rotational parts [2].…”

Section: Introductionmentioning

confidence: 99%

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Development of a generative CAPP system for axisymmetric components for a job shop environment

Kumar

Rajotia

2005

Int J Adv Manuf Technol

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Process planning is a function in a manufacturing organization that selects the manufacturing processes and parameters to be used to transform a part from its initial state to the final form according to the design specifications. It is a bridge between product design and product manufacturing. The activities of process planning include understanding the part specifications or product design data, selection of job material and tool, setup planning, sequencing the operations within a setup, determination of process parameters for each operation, and generation of process sheets. This paper outlines a method to develop a generative computer-aided process planning system for axisymmetric components for a job shop environment. A decision support system is used to perform semi-structured tasks such as setup planning and establishing precedence relationship among various operations.

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“…Simulating plant growth algorithm in the domestic and foreign research is still in its infancy, in real life, the algorithm is used in many fields, such as used in the grid planning, through calculation to verify the good stability of this method, and which can effectively avoid falling into local optimum situation (Zhang et al, 2014). And the algorithm is used to solve the problem of distribution network reconfiguration, effectively avoid the existing of bionics algorithm because of some uncertain parameters of the search direction and no direct and easy to fall into local optimum situation (Shunmugam et al, 2012). Overall dynamic reactive power compensation for distribution network optimization (Dobbs and Nelson, 2011) ( , (1) ( 2) e growing ocation of generated growing time the ntration of (3) he growth ntration of te number g point for subject to ill join the growing points set.…”

Section: Introductionmentioning

confidence: 99%

Digital Architectural Design Model Based on Morpheme Concentration State Space Filtering

2016

Technical Journal of the Faculty of Engineering

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Stress points and nodes structure of all kinds of plants are analyzed. According to the connection between the mechanism of plant growth and the generating mechanism of building, parametric design can be applied to the architectural design scheme optimization and structure analysis phase. A digital architectural design model is proposed based on morpheme concentration state space filtering. Plant growth algorithm is combined to search the way of the global optimal solution and the cooperative mechanism on plant growth. Through the random number in concentration state space of morpheme before choosing the new growing point, according to the size of morpheme and satisfies the requirement of precision, replacing part of the growing points with low concentration of morpheme. Then recalculate the concentration and form the condensed state space. And then the generated random numbers by new state space are used to choose a new growing point in continue iterative calculation. Simulations show that compared with standard algorithm, the proposed improved plant growth algorithm has better optimization results, and improves the search efficiency obviously.

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A method of preliminary planning for rotational components with C-axis features using genetic algorithm

Cited by 27 publications

References 18 publications

Intelligent feature based process planning for five-axis mill-turn parts

Intelligent feature based process planning for five-axis mill-turn parts

Development of a generative CAPP system for axisymmetric components for a job shop environment

Digital Architectural Design Model Based on Morpheme Concentration State Space Filtering

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