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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Feature-based machining of crankshafts for automobile engines

Mailer, Henrik January 2023 (has links)
Manufacturing companies are faced with challenges associated with the fluctuating demand in consumer purchases. As a result, broader families of varyingly manufactured products are on the rise, which poses a significant workload problem for production engineers involved with process planning. The aim of this paper is therefore to introduce Feature-based Machining, as an endorsed CAM-based method to alleviate such workload involved when planning for machining processes. Feature-based Machining does this by eliminating conventional work steps associated with Computer-aided Manufacturing, such as defining cutting parameters, tool associations, feeds and speeds, tool-path generation, and more. By recognizing features over a given workpiece, several pre-taught operations can be automatically generated in response, following an established library of machining knowledge. The methodology of preparing Feature-based Machining is an extensive process that is to be detailed comprehensively in this project, so that future projects and industries may adopt it as a resolute method towards process planning. Moreover, relevant subjects such as sustainability, ethical concerns and innovation are also to be reflected on from the perspective of Feature-based Machining, to provide for fruitful discussion surrounding strategies and implementation.Furthermore, it is also relevant to discuss the intuitiveness and transparency of computer[1]aided software, as it relates to any issues or hurdles that may be encountered during the process of applying Feature-based Machining. Despite such challenges, this project has resulted in a visual framework of recognizing features and applying processes across a family of crankshaft workpieces, where the utility of Feature-based Machining has proven significantly promising for industries of the future, as a result. Future work is also encouraged to follow up on the significance of Virtual Commissioning to this part, as well as a thorough review of Feature-based Machining as a modern subject.

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