Feature-based design approach for integrated CAD and computer-aided inspection planning

Kamrani, Ali Κ.; Nasr, Emad Abouel; Al-Ahmari, Abdulrahman; Abdulhameed, Osama; Mian, Syed Hammad

doi:10.1007/s00170-014-6396-0

Cited by 38 publications

(19 citation statements)

References 33 publications

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“…Each boundary of the rectangular face was defined by its boundary corner and using coordinates (x, y, and z) in the extraction module. ese coordinates were utilized as input for the algorithm [22]. 9Geometric inspection boundary-It shows the boundary of the testing face.…”

Section: Process Plan Of Inspection Operationsmentioning

confidence: 99%

Evolution of Computer‐Aided Process Planning for Hybrid Additive/Subtractive Process

Abdulhameed

Al-Ahmari

Mian

et al. 2020

Advances in Materials Science and Engineering

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The hybrid process, which integrates two or more different processes such as additive manufacturing and subtractive manufacturing, has gained appreciable considerations in recent years. This process exploits the benefits of individual processes while overcoming their limitations. Lately, the combination of additive, subtractive, and inspection methods is a valuable conglomeration, considering its potential to produce complicated components precisely. Certainly, computer-aided process plan (CAPP) provides a crucial link among different processes and is essential to avail the benefits of hybridization. However, a valuable process plan can only be achieved through the optimization of its different elements. Therefore, the objective of this work is the accomplishment of an optimized CAPP to fabricate parts in the shortest time employing the hybrid additive, subtractive, and inspection processes. In this work, mathematical models have been developed to optimize part orientation as well as minimize additive and subtractive times. Additionally, the genetic algorithm has been employed to obtain the best path with minimum inspection time. The feasibility and capability of the proposed approach as well as the optimized CAPP for the hybrid process have been demonstrated through a case study.

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Section: Process Plan Of Inspection Operationsmentioning

confidence: 99%

Evolution of Computer‐Aided Process Planning for Hybrid Additive/Subtractive Process

Abdulhameed

Al-Ahmari

Mian

et al. 2020

Advances in Materials Science and Engineering

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“…It is crucial to determine the number of measurement points and their locations on the inspecting feature for the development of an inspection plan. In the extraction file, every boundary of the rectangular face is expressed by its boundary corner and Cartesian coordinates [26]. The uniform grid point distribution was used for the distribution of touch points on the rectangular face.…”

Section: Probe Path Generationmentioning

confidence: 99%

Integrated system for automation of process, fixture and inspection planning

Nasr

Al-Ahmari

Khan

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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A novel planning system which can automatically accomplish machining plans with the appropriate fixture setup and inspection strategies have been presented. In this work, the primary steps that are required to achieve an automated process scheme, modular fixture design, and inspection planning have been described. The object-oriented approach has been employed to attain automation and integration of the design process, including fixtures and inspection modules. This kind of system is unique as it provides an integrated platform for three important manufacturing activities, namely process planning, fixture design, and inspection. The STEP has been employed as an input to the proposed framework. The computer-aided process planning module consists of geometric and dimensional data, machining feature recognition information and process planning files. The modular fixture layout design has been developed using the set of defined rules, search strategies and the graphical database of various fixturing components. The computer-aided inspection planning module automatically generates an inspection plan and Dimensional Measuring Interface Standard code for coordinate measuring machines. It is noticeable from the reported case study and its outcomes that the developed integrated environment can effectively be employed in different manufacturing industries for automated process planning, fixture design, and inspection.

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“…The final output generates a Dimensional Measuring Interface Standard (DMIS) code for operating a CMM. Kamrani et al [27] employed a set of different techniques and algorithms such as neural networks, clustering and graphical methods trying to build a featurebased inspection planning system integrated with CAD. All planning sub-tasks are addressed by the system finally producing a DMIS code file executable by a CMM.…”

Section: Expert Systemsmentioning

confidence: 99%

Automated Coordinate Measuring Machine Inspection Planning Knowledge Capture and Formalization

Anagnostakis

Ritchie

Lim

et al. 2018

Journal of Computing and Information Science in Engineering

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Capturing the strategy followed during a coordinate measuring machine (CMM) inspection planning session has been an extremely challenging issue due to the time-consuming nature of traditional methods, such as interviewing experts and technical documents data mining. This paper presents a methodology demonstrating how a motion capture-based system can facilitate direct and nonintrusive CMM operator logging for capturing planning strategies and representing in knowledge formats. With the use of recorded motion data, embedded knowledge and expertise can be captured automatically and formalized in various formats such as motion trajectory graphs, inspection plans, integrated definition (IDEF) model diagrams, and other representations. Additionally, a part program can be generated for driving a CMM to execute component measurement. The system's outputs can be used to help understand how a CMM inspection strategy is planned, as well as training aids for inexperienced operators and the rapid generation of part programs.

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Feature-based design approach for integrated CAD and computer-aided inspection planning

Cited by 38 publications

References 33 publications

Evolution of Computer‐Aided Process Planning for Hybrid Additive/Subtractive Process

Evolution of Computer‐Aided Process Planning for Hybrid Additive/Subtractive Process

Integrated system for automation of process, fixture and inspection planning

Automated Coordinate Measuring Machine Inspection Planning Knowledge Capture and Formalization

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