A flexible tool selection decision support system for milling operations

Carpenter, I D; Maropoulos, Paul

doi:10.1016/s0924-0136(00)00707-x

Cited by 34 publications

(15 citation statements)

References 7 publications

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“…Carpenter and Maropoulos (2000) suggest tool selection based on several performance parameters, including surface finish, available machine parameters, and tool life [9]. All of these bodies of work produce excellent results with regard to tool selection and path planning, but their reliance on geometric processing translates to high computational expense.…”

Section: List Of Tablesmentioning

confidence: 99%

Automated Estimation of Time and Cost for Determining Optimal Machining Plans

Blarigan

Campbell

Eftekharian

et al. 2012

Volume 2: 32nd Computers and Information in Engineering Conference, Parts a and B

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In any manufacturing setting, producing a machined part is a complicated, multi-step process. It requires coordination between an engineer and a machinist to ensure all goals are met. A machinist creates a part based generally on personal experience and intuition, and while they know that this will result in the finished product, it is not guaranteed that the process plan chosen is the quickest or least expensive way to make the part. In the past year, we have been developing an automated tool that analyzes a solid model to determine its best process plan. The tool is essentially comprised of a reasoning engine that determines what processes are valid for particular sections of the part, and an evaluation engine that estimates the time and cost of the candidate processes. This paper presents the implemented evaluation engine, which assigns individual values of time and cost to machine operations. The evaluation starts with an automated tool selection strategy. The engineering model is able to determine the machining time of the tool(s) chosen. The method presented here takes a unique approach to machining time estimation that balances the trade-off between accuracy and computational time. Preliminary results suggest that the method is able to achieve accuracy near that of commercial CAM packages, with a much lower computational expense. The evaluation model takes into account non-productive manufacturing times (e.g. fixturing, inspection), and translates these to related costs. The method will be presented and discussed in this paper along with some preliminary results.

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Section: List Of Tablesmentioning

confidence: 99%

Automated Estimation of Time and Cost for Determining Optimal Machining Plans

Blarigan

Campbell

Eftekharian

et al. 2012

Volume 2: 32nd Computers and Information in Engineering Conference, Parts a and B

View full text Add to dashboard Cite

show abstract

“…As a solution of the complexity of current part designs, features perform the broking up of these workpiece in smaller and easier to handle concepts [18]. Several definitions of these features are available: from those needed to factorize machined parts [19] to those used for analyzing welded parts [20]. This key concept is preferred to mathematical or geometrical part definition because it can be enriched by several knowledge layers.…”

Section: Machining Feature Conceptmentioning

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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“…Thus, intelligent and automatic process planning could be realized by this knowledge-based computation technique [1,3,18]. An expert system development tool, CLIPS [7], is used for developing the process planning function in this paper.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a computer-integrated system to support CAD to CAPP

Lau

Lee

Jiang

et al. 2004

Int J Adv Manuf Technol

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During the 1990s, Computer-Aided Design (CAD) and Computer-Aided Process Planning (CAPP) have emerged as effective means of improving productivity and efficiency, resulting in widespread research work related to CAD and CAPP integration in the hope of achieving seamless data flow among the relevant computer systems. Unfortunately, the efficiency of process planning systems still needs significant improvement due to the problems of design data loss or design data misinterpretation. This paper attempts to introduce an intelligent computer-integrated system for reliable design feature recognition in order to achieve automatic process planning. Moreover, it describes a rule-based computer-integrated system for recognizing features of components stored as STEP format, analyzing the design files and designing manufacturing processes. In this approach, the STEP design file is used as the information source for generating detailed manufacturing process. The significance of this research is that the product designs with dissimilar formats from various CAD systems can now be interconnected and automatically coded for multiple manufacturing purposes. It presents an effective method that rule-based reasoning is used to create optimal process plans for metal cutting.

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A flexible tool selection decision support system for milling operations

Cited by 34 publications

References 7 publications

Automated Estimation of Time and Cost for Determining Optimal Machining Plans

Automated Estimation of Time and Cost for Determining Optimal Machining Plans

An improved approach for automatic process plan generation of complex borings

Development of a computer-integrated system to support CAD to CAPP

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