A decision support system for optimising the selection of parameters when planning milling operations

Vidal, Alejandro Pérez; Alberti, Alessandra; Ciurana, Joaquim; Fa, Martí Casadesús

doi:10.1016/j.ijmachtools.2004.07.007

Cited by 32 publications

(15 citation statements)

References 14 publications

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“…However, the part quality was ignored in the selection of process parameters. Vidal et al took the maximum material removal rate as the goal and designed a milling process parameters optimization system based on the optimal machining costs, in the basis of the considering of workpiece material, surface roughness, machine tool, and cutting tool [8]. But this study did not take into account the type characteristics of the specific part, and it lacked specificity.…”

Section: Introductionmentioning

confidence: 99%

A Cutting Parameters Selection Method in Milling Aero-Engine Parts Based on Process Condition Matching

Hou

Zhang

Luo

et al. 2013

Advances in Mechanical Engineering

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An optimal selection method of process parameters based on process condition matching is proposed, for the difficulty of the process parameters selection in the milling of complex structure and difficult-to-cut material parts. The factors of process parameters selection are analyzed, process condition vector and process parameter vector are defined, and their quantitative expressions are proposed. The mapping of existing process condition vectors to the process parameter vectors is established, based on the process data accumulated in practical production. Then, process condition matching degree is defined. In the calculation of the matching degree, Analytic Hierarchy Process (AHP) is adopted to determine the affecting weights of process condition factors, and leveling matrix is adopted to eliminate the differences of dimensions and numerical scales between process condition factors. The optimal process parameters are achieved through matching the actual process condition to the existing process condition. A group of typical aero-engine part milling processes is taken as instance, and the feasibility and effectiveness of this method are verified. A typical aero-engine part CNC machining process database system has been designed and developed based on this method.

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Section: Introductionmentioning

confidence: 99%

A Cutting Parameters Selection Method in Milling Aero-Engine Parts Based on Process Condition Matching

Hou

Zhang

Luo

et al. 2013

Advances in Mechanical Engineering

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“…In those papers, it is played with tool specifications (geometry, material, type etc. ), milling operations, work-piece properties and cutting parameters in order to obtain reliable tools and/or cutting parameters using different techniques of expert systems (Wong and Hamouda, 2003, Cakir et al, 2005, Vidal et al 2005and Carpenter and Maropoulous 2005.…”

Section: Introductionmentioning

confidence: 99%

An Expert Mill Cutter and Cutting Parameters Selection System incorporating a control strategy

Rubio

Sen

2008

IFAC Proceedings Volumes

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An expert mill cutter and cutting parameters selection system incorporating a control strategy Original CitationRubio Rodriguez, Luis and De la Sen Parte, Manuel (2008) The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or notforprofit purposes without prior permission or charge, provided:• The authors, title and full bibliographic details is credited in any copy;• A hyperlink and/or URL is included for the original metadata page; and • The content is not changed in any way. Abstract: This paper discusses the selection of tools and cutting parameters in milling operations. To carry out this research, an expert system has been developed based on numerical methods of performance evaluation. The knowledge base is given by limitations in process variables, which let us to define the allowable cutting parameter space. The mentioned limitations are instabilities due to tool-work-piece interaction, known as chatter vibration, the power available in the spindle motor and milling forces control restrictions. Then, a tool cost model is contrived. It is used to choose a suitable cutting tool, among a known set of candidate available cutters, and to obtain the appropriate cutting parameters, which are expert system outputs. Finally, the expert system can automatically provide other cutter and/or cutting parameters if process specifications change. An example is presented to illustrate the method.

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“…The contractual link between the three major actors at the beginning of the product lifecycle, namely, the design department, the manufacturing department and the production management department, is performed by the process plan [1][2][3]. A similar observation can be applied to underline the importance of Computer Aided Process Planning (CAPP) devices which are located at the intersection of applicability of Computer Aided Design (CAD), Computer Aided Manufacture (CAM) and Enterprise Resources Planning (ERP) systems.…”

Section: Introductionmentioning

confidence: 99%

An improved approach for automatic process plan generation of complex borings

Etienne¹,

Dantan²,

Siadat³

et al. 2006

Computers in Industry

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The research concerns automated generation of process plans using knowledge formalization and capitalization. Tools allowing designers to deal with issues and specifications of the machining domain are taken into account. The main objective of the current work is to prevent designers from designing solutions that would be expensive and difficult to machine. Among all available solutions to achieve this goal, two are distinguished: the generative approach and the analogy approach. The generative approach is more adapted to generate the machining plans of parts composed of numerous boring operations in interaction. However, generative systems have two major problems: proposed solutions are often too numerous and are only geometrically but not technologically relevant. In order to overcome these drawbacks, two new concepts of feature and three control algorithms are developed. The paper presents the two new features: the Machining Enabled Geometrical Feature (MEGF) and the Machinable Features (MbF). This development is the result of the separation of the geometrical and the technological data contained in one machining feature. The second objective of the paper is to improve the current Process Ascending Generation (PAG) system with control algorithms in order to limit the combinatorial explosion and disable the generation of unusable or not machinable solutions. #

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A decision support system for optimising the selection of parameters when planning milling operations

Cited by 32 publications

References 14 publications

A Cutting Parameters Selection Method in Milling Aero-Engine Parts Based on Process Condition Matching

A Cutting Parameters Selection Method in Milling Aero-Engine Parts Based on Process Condition Matching

An Expert Mill Cutter and Cutting Parameters Selection System incorporating a control strategy

An improved approach for automatic process plan generation of complex borings

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