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A Tabu Search-Based Optimization Approach for Process Planning

#artificialintelligence

In this paper, crucial processes in a computer-aided process planning system, such as selecting machining resources, determining set-up plans and sequencing operations of a part, have been considered simultaneously and modelled as a constraint-based optimization problem, and a Tabu search-based approach has been proposed to solve it effectively. In the optimization model, costs of the utilized machines and cutting tools, machine changes, tool changes, set-ups and departure of good manufacturing practices (penalty function) are integrated as an optimization evaluation criterion. A case study, which is used to compare this approach with the genetic algorithm and simulated annealing approaches, is discussed to highlight the advantages of this approach in terms of solution quality, computation efficiency and the robustness of the algorithm.


Fuzzy set theory applied to bend sequencing for sheet metal bending

#artificialintelligence

Brake forming is widely applied in the high variety and small batch part manufacturing of sheet metal components, for the bending of straight bending lines. Currently, the planning of the bending sequences is a task that has to be performed manually, involving many heuristic criteria. However, set-up and bend sequencing procedures and knowledge have to be formally formalized and modeled, for the development of computer-aided process planning systems for sheet metal forming. This paper describes the application of fuzzy set theory for the normalization and modeling of the set-up and bend sequencing process for sheet metal bending. A fuzzy-set based methodology is used to determine the optimal bending sequences for the brake forming of sheet metal components, taking into account the relative importance of handling and accuracy.


Optimization of process plans using a constraint-based tabu search approach

#artificialintelligence

A computer-aided process planning system should ideally generate and optimize process plans to ensure the application of good manufacturing practices and maintain the consistency of the desired functional specifications of a part during its production processes. Crucial processes, such as selecting machining resources, determining set-up plans and sequencing operations of a part should be considered simultaneously to achieve global optimal solutions. In this paper, these processes are integrated and modelled as a constraint-based optimization problem, and a tabu search-based approach is proposed to solve it effectively. In the optimization model, costs of the utilized machines and cutting tools, machine changes, tool changes, set-ups and departure from good manufacturing practices (penalty function) are the optimization evaluation criteria. Precedence constraints from the geometric and manufacturing interactions between features and their related operations in a part are defined and classified according to their effects on the plan feasibility and processing quality.


A fuzzy set AHP-based DFM tool for rotational parts

#artificialintelligence

Design for manufacturability (DFM) requires product designers to simultaneously consider the manufacturing issues of a product along with the geometrical and design aspects. This paper reports a computer-aided DFM tool for product designers to evaluate the manufacturability of their designs. A fuzzy set-based manufacturability evaluation algorithm is formulated to generate relative manufacturability indices (MIs) to provide product designers with a better understanding of the relative ease or difficulty of machining the features in their designs. This computer-aided DFM system is developed for rotational parts. The MI of machining a part is decomposed into three components, namely, the support index, the clamping index, and the feature index.


Challenges in Semantics for Computer-Aided Designs

AAAI Conferences

This paper presents a brief summary of a number of different approaches to the semantic representation and automated interpretation of engineering data. In this context, engineering data is represented as Computer-Aided Design (CAD) files, 3D models or assemblies. Representing and reasoning about these objects is a highly interdisciplinary problem, requiring techniques that can handle the complex interactions and data types that occur in the engineering domain. This paper presents several examples, taken from different problem areas that have occupied engineering and computer science researchers over the past 15 years. Many of the issues raised by these problems remain open, and the experience of past efforts can serve to identify fertile opportunities for investigation today.