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“…In addition to the automated design, CAD-based automated planning of manufacturing processes is a possibility [9][10][11][12][13], as well as the automation and enhancement of the assembly processes of engineering parts by taking advantage of the programming resources that modern CAD systems have to offer. Typical examples in this area involve the automated assembly process of large mechanical systems based on characteristics and features, as well as the extraction of the assembly sequences via CAD models for assembly planning [14][15][16][17].…”
The resources of modern Finite Element Analysis (FEA) software provide engineers with powerful mechanisms that can be used to investigate numerous machining processes with satisfying results. Nevertheless, the success of a simulation, especially in three dimensions, relies heavily on the accuracy of the cutting tool models that are implemented in the analyses. With this in mind, the present paper presents an application developed via Computer-Aided Design (CAD) programming that enables the automated design of accurate cutting tool models that can be used in 3D turning simulations. The presented application was developed with the aid of the programming resources of a commercially available CAD system. Moreover, the parametric design methodology was employed in order to design the tools according to the appropriate standards. Concluding, a sample tool model was tested by performing a number of machining simulations based on typical cutting parameters. The yielded results were then compared to experimental values of the generated machining force components for validation. The findings of the study prove the functionality of the tool models since a high level of agreement occurred between the acquired numerical results and the experimental ones.
“…In addition to the automated design, CAD-based automated planning of manufacturing processes is a possibility [9][10][11][12][13], as well as the automation and enhancement of the assembly processes of engineering parts by taking advantage of the programming resources that modern CAD systems have to offer. Typical examples in this area involve the automated assembly process of large mechanical systems based on characteristics and features, as well as the extraction of the assembly sequences via CAD models for assembly planning [14][15][16][17].…”
The resources of modern Finite Element Analysis (FEA) software provide engineers with powerful mechanisms that can be used to investigate numerous machining processes with satisfying results. Nevertheless, the success of a simulation, especially in three dimensions, relies heavily on the accuracy of the cutting tool models that are implemented in the analyses. With this in mind, the present paper presents an application developed via Computer-Aided Design (CAD) programming that enables the automated design of accurate cutting tool models that can be used in 3D turning simulations. The presented application was developed with the aid of the programming resources of a commercially available CAD system. Moreover, the parametric design methodology was employed in order to design the tools according to the appropriate standards. Concluding, a sample tool model was tested by performing a number of machining simulations based on typical cutting parameters. The yielded results were then compared to experimental values of the generated machining force components for validation. The findings of the study prove the functionality of the tool models since a high level of agreement occurred between the acquired numerical results and the experimental ones.
“…69,70 It allows user with basic CAD skills to generate robot off-line programming seamlessly in an intuitive and time-saving way. Similarly, the work in the literatures 71,72 proposes to generate a robot path by means of extract the liaison graph from a 3D CAD model to find at least a feasible assembly sequence for the product. In Fang and Zhang, 73 a specific solution to realize the collaboration between CAD software and CAR (computeraided robotic) software is introduced.…”
Automatic operation system with industrial robots has become more and more popular, especially with the urgent requirement from 3C (Communication, computer and consumer electronics) manufactory. A robot cell, which often involves one or more robots and accessory equipment, can be regarded as part of the larger theme of cellular manufacturing. The objective that most interests manufacturers is the investment return rate. It is largely determined by the productivity of robotic cell, and the leading time of robotic production system. Therefore, a fast and efficient method to design a robotic cell layout with the maximum throughput for a given task is undeniably a worthy research topic. This paper attempts to discuss the challenges and key technologies in the robotic cell layout optimal design. The proper selection of configuration for task, manual operation skill learning and translation, collaborative design tool-chain, optimization in cell layout and operation scheduling, optimal end-of-arm tooling design, and human-robot collaboration are included in this discussion with existing or on-going problem-solving key technologies.
“…Computer-aided methods and algorithms were developed to extract liaison matrix through APIs from 3D CAD models to perform ASG. 21,75,82–84 Figure 4 represents a flow chart to extract liaison matrix from 3D CAD model by performing assembly contact analysis. Figure 4.Mechanism to extract liaison matrix.…”
Section: Terminology Associated With Asgmentioning
confidence: 99%
“…The recent research has been focused on achieving feasible assembly sequences directly through 3D CAD model without any user intervention. 80–84…”
Sequence of feasible mechanical assembly operations plays significant role in overall cost optimisation process for manufacturing industry and thus great importance is given to assembly sequence generation from past four decades. Though achieving at least one feasible sequence is focused in the earlier stages of research, the introduction of soft computing techniques attracted the industrial engineers towards cost-effective, optimised assembly sequences to attain economical manufacturing process. The integration of assembly sequence generation methods with computer aided design environment ensures more correctness and flexibility to automate the process. In this paper, a detailed review on various methods, their applications and limitations is presented and well discussed.
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