Optimization of Vehicle Side Curtain Airbag Module Based on Computer Aided Engineering

Compared with other kinds of airbags, curtain airbag（CAB） has more complex structures and larger coverage area. The product development process depends on many module tests, sled tests and full size vehicle tests. Computer aided engineering（CAE） technology can replace tests to a great extent, also save test costs and product development time. This paper introduces the way of setting up simulation models and application of static deployment tests and free motion headform（FMH） tests to verify simulation models. In the CAB simulation, uniform pressure airbag models and computational fluid dynamics（CFD） models are all used. The uniform pressure airbag models are not able to simulate the pressure difference among different parts inside the cushion during inflating process. CFD-based CAB models are used to help the curtain airbag optimization design. Based on effective CAE simulation, the optimization analyses related to diffuser tube parameters, inflator mass flow rate and cushion folding patterns are discussed and performed in different cases. The optimization result shows that the proposed techniques are helpful to the parametric optimization design of side curtain airbag module in curtain airbag development process.

Computer Aided Software Engineering(CASE)for CAD Systems Production

In the paper the basic elements of CAD systems from software point of view are dis- cussed.The creation and next the modification of CAD systems needs specialized software tools.In the paper the idea computer Aided Software Engineering(CASE)for CAD systems production and practi- cal software realization of such a software tool is considered.The main element of this tool is special program provided for convenient storage and modification of CAD source program.In the paper the simple examples are presented and discussed.

Integration of CAD/CAE System for Casting Process Design

Concurrent engineering is needed to modernize the foundry industry and to reduce the scrap from castings and thus increase the economic profit. This paper presents an integrated 3-D CAD/CAE system for a foundry using concurrent engineering which considers casting structure, casting type, and manufacturing properties in the CAD module to design the pouring system, the riser, the chill core and so on. A visualized solid model is developed for the casting component with the model design enhanced by CAE analysis. Heat transfer and fluid flow simulation are used to analyze the initial design. The whole product development process is analyzed using concurrent engineering methods. The application shows that the integrated system can improve the efficiency of the design and manufacturing process of die casting.

Analysis of hard turning process： thermal aspects

In manufacturing sector, hard turning has emerged as a vital machining process for cutting hardened steels. Besides many advantages of hard turning operations, one has to implement to achieve close tolerances in terms of surface finish, high product quality, reduced machining time, low operating cost and environmental friendly characteristics. In the study, three dimensional （3D） computer aided engineering （CAE） based simulation of hard turning by using commercial software DEFORM 3D has been compared to the experimental results of stresses, temperatures and tool forces in machining of AISI D3 and A1SI H13 steel using mixed ceramic inserts （CC6050）. In the following analysis, orthogonal cutting models are proposed, considering several processing parameters such as cutting speed, feed and depth of cut. An exhaustive friction modelling at the tool-work interface is carried out. Work material flow around the cut- ting edge is carefully modelled with adaptive re-meshing simulation capability of DEFORM 3D. The process simulations are performed at constant feed rate （0.075 mm/r） and cutting speed （155 m/min）, and analysis is focused on stresses, forces and temperatures generated during the pro- cess of machining. Close agreement is observed between the CAE simulation and experimental values.