Papers by Keyword: Process Planning

Abstract: This paper describes a new approach for planning additive manufacturing (AM) technology. Based on the technological heredity between the stages of the process chain, an optimisation method is proposed that makes it possible to minimise manufacturing costs under consideration of the quality requirements.

Abstract: This paper investigates different machining toolpath strategies on machining efficiency and accuracy in the micro milling of linear and circular micro geometric features. Although micro milling includes many characteristics of the conventional machining process, detrimental size effect in downscaling of the process can lead to excessive tool wear and machining instability, which would, in turn, affects the geometrical accuracy and surface roughness. Most of the research in micro milling reported in literature focused on optimising specific machining parameters, such as feed rate and depth of cut, to achieve lower cutting force, better surface roughness, and higher material removal rate. However, there was little attention given to the suitability and effect of machining tool path strategies. In this research, a tool path optimisation method with respect to surface roughness and dimensional accuracy is proposed and tested experimentally. Various toolpath strategies, including lace(0°), lace(45°), lace(90°), concentric and waveform in producing linear and circular micro geometric features were compared and analysed. Experimental results show that the most common used strategies lace(0°) and concentric reported in the literature have provided the least satisfactory machining performance, while waveform toolpath provides the best balance of machining performance for both linear and circular geometries. Hence, at process planning stage it is critical to assign a suitable machining toolpath strategy to geometries accordingly. The paper concludes that an optimal choice of machining strategies in process planning is as important as balancing machining parameters to achieve desired machining performance.

Abstract: In this paper, the authors discuss process planning for the lateral extrusion of a pipe with a lost core. In this process, maximum longitudinal length of the bulged part is restricted by the balance of the extrusion speed of the material and the lost core. In the free bulging condition, longitudinal length is limited to the pipe radius, because the extrusion speed of the core is slower than that of the pipe material when the longitudinal length of the bulged part is longer. The authors designed a two-stage forming process using the transit shape of a truncated cone to solve this problem. The dimensions of the truncated cone were estimated through trial-and-error using a commercial FEM simulator and considering the stretch effect for wrinkles of the pipe by deformation and traveling of the lost core. Finally, the authors conducted experiments to confirm the design’s validity. As a result, a longer longitudinal length of the bulged part than the pipe radius was successfully obtained.

Abstract: Process planning and scheduling are two of the most important manufacturing functions which are usually performed sequentially in traditional approaches. Considering the fact that these functions are usually complementary, it is necessary to integrate them so as to improve performance of a manufacturing system. This paper presents implementation of novel nature-inspired Ant Lion Optimization (ALO) algorithm for solving this combinatorial optimization problem effectively. As the ALO algorithm mimics the intelligent behavior of antlions in hunting ants, the main steps of hunting prey, its mathematical modeling, and optimization procedure for integration of process planning and scheduling is proposed. The algorithm is implemented in Matlab environment and run on the 3.10 GHz processor with 2 GBs of RAM memory. Experimental results show applicability of the proposed approach in solving integrated process planning and scheduling problem.

Abstract: Process planning is the key sector for automobile industry enterprises to shorten product development cycle. By studying the expression method of process information and standardized description method of process knowledge based on MBD, the process knowledge base is established with the uniform representation model as the core, on this basis, the knowledge embedding method oriented to process planning task, modeling method of process planning wizard and process planning navigation technology is studied, the maintenance and application platform of the process knowledge for the automobile industry is established, and integrated with the existing CAPP system, to realize the whole-process management of processes knowledge, so as to provide the support for the optimization and improvement of the manufacturing process.

Abstract: The existing problems on the manufacturing process planning and management of China are introduced, a variety of manufacturing process analysis and optimization processes are integrated, product, process and technology resources are systematized, then the information model is established. The architecture of a process analysis is proposed, on the basis, a platform of process planning, management, analysis and improvement is constructed, through integration with the CAPP system, the function of process planning, analyzing and optimizing has been implemented. By application in an auto heavy plant, the desired effect of data sharing, staff collaboration, process optimization is achieved.

Abstract: The process of the product design consists in a plan for the product, its components and subassemblies. To obtain the physical entity building a manufacturing plan is needed. The activity of developing such a manufacturing plan is name process planning. Process planning is the relation between design and manufacturing. Process planning consists in defining the sequence of the steps that should be taken to make the product. Process planning is referring to the engineering and technological issues of how to make it.

Abstract: Virtual machining environment in Vericut was proposed with purpose of enhancing process planning practice training for undergraduates. Main issues include construction of virtual manufacturing resource library and virtual machining process execution environment for planned process. Virtual manufacturing resource library is composed of virtual and digital models for diverse kinds of machine tools. Type determination and classification principle of machine tools and virtual equipment modeling method in the proposed environment are studied. Virtual machining for particular process by multi setup and cut stock transfer method are defined. The proposed Virtual machining process execution environment provides effective ways for enrolled undergraduates applying machining knowledge in process planning, gaining experience with advanced machine tools and manufacturing technology in industrial world.

Abstract: In this paper a new solution for design features identification is show. The proposed method is based on manual arbitral identification of the potential design features. Application of this method allows identifying a set of design features which can be used for a design modelling in CAD system. As a result of application of the proposed method a user is able to identify the set of design features. This set can be next applied in the process of design production preparation subsystem formation at the stage of design feature library creation.

Abstract: According to problems of deficiency guidance in the traditional virtual disassembly training, the planning method of disassembly operation process based on Petri-net is presented. By this method, Disassembly Petri-Net (DPN) model process-oriented is built. In this model, constraint relations for the process and generation rule for DPN are studied. At last, by taking the transmission of bulldozer as example, planning method and its solution aimed at timeliness are proposed. The example shows that the planning results can improve training effect significantly, which provides a practical and efficient training platform for trainees.