Modelling integration of CAD and inspection planning of simple element features

Ketan, Hussein Salem; Al-Bassam, Mithal A.; Adel, M.B.; Rawabdeh, Ibrahim A.

doi:10.1108/09576060210442662

Cited by 10 publications

(5 citation statements)

References 32 publications

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“…The measuring system and inspection procedure describe the used measurement principles and a measurement method with the required measurement equipment. Ketan et al. (2002) and Zhao et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The measuring system and inspection procedure describe the used measurement principles and a measurement method with the required measurement equipment. Ketan et al (2002) and Zhao et al (2009, p. 461) describe computer-aided inspection planning software, which aims to reduce the planning costs for variants by automatically creating inspection plans for coordinate measurement machines. The software creates inspection plans by automatically identifying inspection characteristics in CAD data, defining measurement points, checking collisionfreeness and executing the inspection (Zhao et al, 2009, p. 461).…”

Section: Literature Reviewmentioning

confidence: 99%

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Auto-encoder-based algorithm for the selection of key characteristics for products to reduce inspection efforts

Greipel

Frank

Huber

et al. 2022

IJQRM

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PurposeTo ensure product quality within a manufacturing process, inspection processes are indispensable. One task of inspection planning is the selection of inspection characteristics. For optimization of costs and benefits, key characteristics can be defined by which the product quality can be checked with sufficient accuracy. The manual selection of key characteristics requires substantial planning effort and becomes uneconomic if many product variants prevail. This paper, therefore, aims to show a method for the efficient determination of key characteristics.Design/methodology/approachThe authors present a novel Algorithm for the Selection of Key Characteristics (ASKC) based on an auto-encoder and a risk analysis. Given historical measurement data and tolerances, the algorithm clusters characteristics with redundant information and selects key characteristics based on a risk assessment. The authors compare ASKC with the algorithm Principal Feature Analysis (PFA) using artificial and historical measurement data.FindingsThe authors find that ASKC delivers superior results than PFA. Findings show that the algorithms enable the cost-efficient selection of key characteristics while maintaining the informative value of the inspection concerning the quality.Originality/valueThis paper fills an identified gap for simplified inspection planning with the method for the efficient selection of key features via ASKC.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Auto-encoder-based algorithm for the selection of key characteristics for products to reduce inspection efforts

Greipel

Frank

Huber

et al. 2022

IJQRM

View full text Add to dashboard Cite

show abstract

“…A depth-first strategy was adopted by means of priority scores assigned to the inspection rules. Ketan et al (2002) developed a feature-based geometric reasoning approach for planning the inspection of prismatic parts. Genetic algorithms (GAs) were applied to reduce the distance moved by the probe to obtain a collision-free path.…”

Section: Inspection Planningmentioning

confidence: 99%

Quadratic assignment problem mathematical modelling for process planning

Azab

2015

International Journal of Computer Integrated Manufacturing

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Increased global competition and frequent unpredictable market changes are current challenges facing manufacturing enterprises. Part design and engineering specifications changes trigger frequent and costly changes in process plans, which often require changes in their manufacturing system. Process planning is a key support function that should be further developed to cope with these challenges. A sequential hybrid approach at the macro-level has been exploited. At the heart of the proposed method, a new mathematical model based on the popular Quadratic Assignment Problem (QAP) is solved, where sub-operations are assigned positions and clustered to represent operations in one-dimensional space. A linearisation of the quadratic model is performed and, hence, solved for optimality. The proposed model cures the conceptual flaws in the classical solutions of the Traveling Salesperson Problem (TSP). It also overcomes the complexity of the sub-tour elimination constraints and, for the first time, mathematically formulates precedence constraints, which is a cornerstone of the process planning problem. The developed methods, their limitations and merits are conceptually and computationally analysed, compared and validated against other models in the literature using detailed industrial case studies. General algebraic modeling system language, its SBB mixed-integer non-linear programming (MINLP) solver and CPLEX solvers are used. The presented innovative new concepts and novel formulations represent significant contributions to knowledge in the field of process planning. Their effectiveness and applicability are validated in different domains of applications, namely metal cutting, inspection and assembly.

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“…They have contributed an integrated representation scheme for CAD/CAM interfacing. Ketan et al (2002) have dealt with the process of integrating CAD with inspection planning. They have pointed out the need of developing product models using CAD/CAM which would be easier to be linked with CAM.…”

Section: Literature Surveymentioning

confidence: 99%

Agility through the interfacing of CAD and CAM

Vinodh

Sundararaj

Devadasan

et al. 2009

Journal of Engineering, Design and Technology

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Purpose -Agile manufacturing (AM) refers to the capability of an organisation to quickly respond to the customers' dynamic demands. The purpose of this paper is to report a research which is carried out to explore the interfacing of computer aided design/computer aided manufacturing (CAD/CAM) in a traditional manufacturing company with the purpose of acquiring AM characteristics. Design/methodology/approach -The CAD model of an existing electronics switch is developed using Pro/E package. Then, the mold adviser package is used to design the existing mold of this component. On studying this mold, ten new models of it are designed using the mold adviser package. Findings -The new models developed through CAD/CAM interfacing are found to possess more agile characteristics than those possess by the existing mold.Research limitations/implications -The explorative study is conducted in only one traditional manufacturing company. In this company several world class manufacturing strategies like kaizen and total productive maintenance are implemented. This endeavour mimics those pursue in majority of the companies situated in different parts of the world. This implies that the contributions of this research would be useful to majority of those companies as well. Practical implications -A roadmap is developed which will be useful for practically applying CAD/CAM interfacing with the objective of implementing AM. Originality/value -It appears that no researcher has examined the interfacing of CAD/CAM for achieving agility in manufacturing organisations. This paper reports a research, which is conducted to fill this research and practice gap. Hence, this research is original and valuable to both researchers and practitioners.

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Modelling integration of CAD and inspection planning of simple element features

Cited by 10 publications

References 32 publications

Auto-encoder-based algorithm for the selection of key characteristics for products to reduce inspection efforts

Auto-encoder-based algorithm for the selection of key characteristics for products to reduce inspection efforts

Quadratic assignment problem mathematical modelling for process planning

Agility through the interfacing of CAD and CAM

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