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Ingredients for the successful implementation of a new CAD system are explained. Special considerations for large installations are the primary emphasis. Selecting the right software and hardware, providing appropriate and timely training, assisting users with one-on-one technical help, continuously monitoring the progress, and promptly addressing all issues and concerns are the keys to implementation. Strong management leadership, competent implementation team, and strategic partnership with the CAD software vendor are vital to the execution of the implementation program and realization of healthy returns on the investment. Case Corporation has recently implemented Pro/ENGINEER® to impact the product development process. Some experiences from this implementation have been incorporated in the discussions.

Fluid flow and heat transfer disciplines are increasingly becoming important in the development of agricultural and construction equipment (AG&CE). This technology solves problems related to cooling, engine intake and exhaust, HVAC, sizing/shaping ducts, fans, farming implements, etc. Lately, the use of Computational Fluid Dynamics (CFD) simulation tools early in the product development has been reducing product evaluation and development times significantly. This paper highlights the successful application of CFD tools to solve various problems in the agricultural and construction machinery development process. It also briefly describes the integration of CFD with the product development.

This paper describes an integrated dynamic simulation and RPC (Remote Parameter Control) shaker test approach that accelerates product development of structural components. The simulation is based on the principle of random vibration and is used for optimizing the design in the early stages of the design process. Once the prototypes are built, RPC shaker test is used to verify the structural integrity of the optimized designs. The benefits of this integrated approach are demonstrated using a tractor seat development example. The simulation was able to pin-point potential failure locations and estimate the fatigue life. The design was optimized using only one design iteration.