This article develops the design and evaluation function block of inserts on the basis of the optimization database system of cutting parameters for large cylinder section. The function block completes the development combining 3D graphics software called SolidWorks with programming language called VB. This article achieves the design and evaluation functions which are inserts shape selection, inserts parameter design, inserts geometric characteristics design and finite element simulation of inserts. Finally, this paper proves the reliability of the result which is achieved from the design and evaluation function block of inserts by comparing with traditional inserts.
Targeting the current status of cutting tool design long cycle and inefficient, this research presents an integrating system of cutting tool design (CAD) and simulation (CAE). First, the paper proposes the system architecture and analyzes the process. And then based on the architecture, the system prototype integrating SIEMENS NX and ANSYS is developed on the Visual Studio 2008 platform. The prototype can generate cutting tool 3D model on SIEMENS NX and continue to simulate on ANSYS based on the information from users. Finally, a kind of ball end mill is presented to certificate this system.
Due to the rapid development of aerospace industry, the amount of cutting data is increasing. Establishing cutting database for aerospace industry is necessary. Therefore, this article designs the typical aerospace material database system. According to project requirements analysis and the conceptual design, nine function blocks is set. They are data management, experiment management, optimization management, cutting tool design, cutting tool simulation, knowledge base, aerospace solutions, systems management, and help. And the article describes content and processes of every function block.
Large cylindrical shell is typically difficult to machine parts, and the cutting process of the bulky cylindrical shell is complicated. Through the actual requirements and conceptual design, the paper establishes the heavy-duty optimized database system for difficult-to-cut materials in order to improve its surface quality and production efficiency. The system is completed by combining Visual C++ 6.0 and SQL Server 2000.This paper mainly describes the implementation process and related interfaces of the data optimization and heavy inserts design. The data from optimization and tool design function block are validated its reliability by experiments and simulations, which proves that the system can be used for actual production.
According to subject needs, this article considers both processing time and production costs as the objective function. And it gets the mathematical model of the system regarding cutting force, machine power, machining accuracy and tool life as constraints. The system is developed by Visual C++ 6.0 and SQL Server 2000. The database gets reasonable cutting parameters by Hybrid Reasoning. What’s more, the system optimizes the cutting parameters by using Artificial Bee Colony algorithm further. And the optimization results have been verified its correctness.
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