Computer Aided Process Planning using STEP Neutral File for Automotive Parts

Rampur, Vinod V.; Reur, Sachhidanand

doi:10.17577/ijertv6is040497

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…As was mentioned previously, the output of a CAPP system should include selection of operations, sequence of operations, and associated processes to convert a raw material into a product. Also, it has to specify each dimension and geometry requirement through which the operation is achieved [97]. Removing human intervention to achieve these tasks would improve CAPP performance.…”

Section: Output Activities Of Cappmentioning

confidence: 99%

A survey on smart automated computer-aided process planning (ACAPP) techniques

Al-wswasi

Ivanov

Makatsoris

2018

Int J Adv Manuf Technol

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The concept of smart manufacturing has become an important issue in the manufacturing industry since the start of the twenty-first century in terms of time and production cost. In addition to high production quality, a quick response could determine the success or failure of many companies and factories. One the most effective concepts for achieving a smart manufacturing industry is the use of computer-aided process planning (CAPP) techniques. Computer-aided process planning refers to key technology that connects the computer-aided design (CAD) and the computer-aided manufacturing (CAM) processes. Researchers have used many approaches as an interface between CAD and CAPP systems. In this field of research, a lot of effort has been spent to take CAPP systems to the next level in the form of automatic computer-aided process planning (ACAPP). This is to provide complete information about the product, in a way that is automated, fast, and accurate. Moreover, automatic feature recognition (AFR) techniques are considered one of the most important tasks to create an ACAPP system. This article presents a comprehensive survey about two main aspects: the degree of automation in each required input and expected output of computer-aided process planning systems as well as the benefits and the limitations of the different automatic feature recognition techniques. The aim is to demonstrate the missing aspects in smart ACAPP generation, the limitations of current systems in recognising new features, and justifying the process of selection.

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Section: Output Activities Of Cappmentioning

confidence: 99%

A survey on smart automated computer-aided process planning (ACAPP) techniques

Al-wswasi

Ivanov

Makatsoris

2018

Int J Adv Manuf Technol

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The Use of Feature Technology in Selecting Cutting Tools and Generating Tool Paths

Al-khaleeli,

H. AL-Khafaji,

Al-wswasi

2024

Salud, Ciencia y Tecnología - Serie de Conferencias

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Conventional manufacturing depends on the expertise of a process-planner in analyzing the design’s inputs and generating a comprehensive manufacturing plan. Despite the use of Computer Numerical Control (CNC) systems during the manufacturing process, it is still considered costly and time-consuming due to the demands of human intervention. Automation systems have become indispensable in the manufacturing industry since they significantly reduce the effort and errors of process planners, improve manufacturing flexibility, enhance efficiency, and minimize product costs. To solve the issue and achieve automation in this field, feature technology is used to automatically integrate the design and manufacturing processes. Algorithms of automatic feature recognition (AFR) have been developed to analyze geometric information of a part design, stored as a STEP file, and convert it to a set of predefined features. After completing the recognition process, a feature subtraction method is applied to solve the intersection issue of the predefined features which appears during the rough cutting cycle and generates intermediate features. This study focuses on recognizing and subtracting features of rotational parts. The system has been built via C# programing to detect set of 14 predefined final features, as well as different shapes of intermediate features. Both the final and intermediate features can be utilized to automatically generate the desired outputs of a process planning. This includes selecting machining process, sequence of operations, cutting tools and cutting conditions, and generating the G-code for machining the part. The proposed methodology has been evaluated through simulations and practical experiments, and the results were as expected.

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Cutting Tools and Their Design Features: From the Point of View of Artificial Intelligence

Heydarov

2024

Global Sustainable Development

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Cutting tools are fundamental components in manufacturing and engineering processes which are essential for shaping, cutting, and decided materials like metal, wood and composites. The design of these tools calls for a delicate balance between choice of materials, geometry and performance criteria whose parameters are tailored. The emergence of artificial intelligence (AI) has turned this world all upside down. AI first uses machine learning algorithms to analyze large quantities of data about material properties, wear resistance, or cutting conditions leading to new tool designs for a given material. In addition, AI also allows real-time monitoring during machining and with adaptive control. It can improve precision as well as reduce tool wear by selecting the right speed when cutting, while slow down results in prevention of damage. Furthermore, AI-driven simulations have enabled engineers to simulate and optimize tool design in virtual environments prior to physical production. AI will continue to advance in the future holds out the promise of decreasing still further the cost and improving the performance characteristics of cutting tools. It is the combination of AI and cutting tool design to gain maximum benefits of this innovation while minimizing costs for now in the future.

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Computer Aided Process Planning using STEP Neutral File for Automotive Parts

Cited by 3 publications

References 9 publications

A survey on smart automated computer-aided process planning (ACAPP) techniques

A survey on smart automated computer-aided process planning (ACAPP) techniques

The Use of Feature Technology in Selecting Cutting Tools and Generating Tool Paths

Cutting Tools and Their Design Features: From the Point of View of Artificial Intelligence

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