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| Recent related research work | Current work |
| Reference | Contribution and limitations |
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| Kamrani et al. [22] | A framework was developed to generate an instruction file for guiding the CMM measurement process. This work primarily emphasized on developing a computer-aided process plan for the inspection process. The feature extraction, feature recognition, and probe approach directions were utilized for ease of access, setup planning, and inspection point’s distribution on the measurand. The techniques such as the clustering algorithm, graphical method, and ANNs were used to carry out the competent inspection. The proposed approach was effective and competent, but it did not deal with the manufacturing aspects. The stated process plan did not consolidate the manufacturing processes, such as additive and subtractive processes. | This work is distinctive because it integrates additive, subtractive, and inspection processes. The proposed CAPP is holistic and comprehensive, which incorporates manufacturing as well as inspection information in the detailed process plan. The plan is flexible to adjust to any changes in production resources, machining, and inspection settings, etc. |
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| Homar and Pušavec [23] | A processing time- and cost-oriented algorithm was reported to minimize the fraction of the component that has to be fabricated additively. A novel algorithm based on an optimized manufacturing operation sequence was utilized for feature recognition in hybrid processing (subtractive and additive). The authors presented an ingenious concept but did not recognize inspection, which has now become an integral link in the production process. Furthermore, this approach can be inefficient if the part is very complex and the product requires an additive process for the majority of its features. | In this work, the inspection activity has been an indispensable element of the entire methodology. The additive, subtractive, and inspection processes have been synchronized to attain an efficient process plan. The established approach is formative and can be utilized for prismatic parts with any complexity. |
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| Al-Ahmari et al. [24] | The relationship between the attribute and build orientation was studied in this work. An optimal part orientation system was established to improve part quality/accuracy in additive manufacturing. In this approach, the weighted sum function was employed to compute the part volume and time required for printing. This work was enlightening, but it was limited only to additive manufacturing and didn’t describe the proposed algorithm for its application in hybrid additive-subtractive-inspection process. | The existent research incorporated and unified the developed mathematical models to enhance the effectiveness of the extensive process plan for the hybrid additive-subtractive-inspection process. |
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| Abdulhameed et al. [25] | The concept of the multiagent system was proposed to develop a computer-aided process plan for the hybrid additive-subtractive-inspection process. It was based on a three-step methodology, namely, a static process plan, selection of optimum scenario, and dynamic process plan. The crux of this work was the application of agent theory in acquiring a proficient computer-aided process plan for the hybrid process. However, this work did not describe the optimization of individual phases. Although the inspection was an integral part of their methodology, the minimization of inspection time was not considered. Moreover, this work primarily focused on the software front and did not present the actual setup for hybrid machining. | The present work has also introduced a computer-aided process plan for the hybrid additive-subtractive-inspection process, but it does not consider the agent theory. Instead, the idea of peaks is implemented to slice the entire part to subpart. Moreover, the optimization of each phase in the process planning of the hybrid process is the essence of this work. The genetic algorithm has been implemented in this study to minimize the inspection time, besides other optimization models. The setup designed for hybrid additive-subtractive-inspection process has also been referred to in this work. |
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