The objective of this study was to implement the Lazy Parts Indicator Method (LPIM) in the analysis of a remote control (RC) car to identify potential parts for mass reduction. In addition, an example of how the method can be used in conjunction with a part redesign process has been shown through topology optimization of an identified part. The LPIM, which was originally developed for the analysis of automobiles, serves as a set of guidelines for novice designers to identify components that have potential for mass reduction. By successfully using the method on a RC car, the method can be shown to be applicable on smaller scale. The analysis of the RC car consisted of using indicators to identify lazy parts, weighing of those parts, and estimation of mass reduction percentages. From this, it was estimated that approximately 5% of the vehicle’s weight could be reduced. Once the lazy analysis was completed on the car, a component with a high potential for mass reduction was selected for redesign. Topology optimization using ANSYS Mechanical was done to suggest a new design, which contained regions of material removal. After creating a redesigned part, a new mass was measured and used to validate the original mass reduction estimates from the LPIM. The new part design was also validated through physical experimentation in which the part was fabricated and tested. This paper outlines an entire process for lightweight design from start to finish, beginning with an identification of parts with mass reduction using the Lazy Parts Indicator Method.

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