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Design analysts, who work with finite element shape optimization, face a daunting task of handling cylindrical parts like a pusher for a crimp. The shape vectors generated by any of the existing methods/tools cannot constrain nodes to move in a circular path. Since the pusher is not a complete cylinder and the loading is only along axial direction, shape optimization was performed after flattening out the cylindrical pusher. The existing shape optimization tools could now be applied to the flat plate. A numerical interpolation method, based on ‘Autodv’, has been used to generate shape vectors. Both weight and stresses have been brought down and the final design was verified with solid finite element analysis.

In today's global fluid power industry, successful hydraulic component manufacturers must utilize technical resources to maintain a competitive edge. When designing new products, past practice required an understanding of engineering theory and reliable and accurate lab and field testing of new products, but today's designers have a new tool at their disposal. Personal computer based software can be used to model and simulate individual hydraulic components or entire systems before prototypes are available for design and performance evaluation. This paper discusses the design of a hydraulic safety valve and how PC simulation was used to design and analyze valve performance during the design process.

The design objective of the Spicer S400-S axle program was to develop a light weight, lower torsional vibration, long life tandem drive axle for the heavy truck industry. This was accomplished with the incorporation of a number of new product features and technical advancements, both in design and manufacturing. These include: reduced standouts for improved interaxle driveline angles use of finite element analysis fixed pinion mounting optimization of lube flow and direction of lubrication optimized gear design for improved strength and noise reduction. This paper focuses on these features and also on the development process for the axle, including the use of simultaneous engineering. Utilizing simultaneous engineering, the S400-S was developed from concept to full production in fifteen months.

A few years ago hydraulic fluid power component manufacturers had the luxury of long lead times to develop new products. In today's competitive global market, pump and valve design engineers must be able to shorten development lead times and get new, less costly products to production in order to satisfy customer demands. This paper describes how one fluid power component manufacturer uses rapid prototyping technology to speed up the development cycle by making: fit and form models, design evaluation test samples, and tooling for prototype castings.

Designing highly loaded spur and helical gears for truck transmissions that are both strong and quiet requires an analysis method that can easily be implemented and also provides information on bending stress, load distribution, and transmission error. The finite element method is capable of providing this information, but the time needed to create such a model is very great. In order to reduce the modeling time, a preprocessor program that creates the geometry needed for a finite element analysis has been developed. While requiring a minimum of user input, the program generates a three-dimensional model of contacting spur or helical gears using eight node brick elements. Gap elements are used to model the contact that normally occurs between meshing gear teeth as well as the contact that may occur off the line of action due to the teeth deflecting under load.

The intent of this paper will be to address the level of performance and cost of the various complex instruction set computers (CISC-80X86) versus the reduced instruction set computers (RISC). The original concept of reduced instruction set computers will be explained. The above information will be contrasted with how the second generation system functions. Once the operations are established, a discussion of operating performance as related to several types of benchmarks will be cited. A typical FEA model will be used as the final benchmark to determine realistic performance versus speed (wall clock time). The final comparison will be of cost.