14th International Conference on Shot Peening

Characterization of shot size and shape distributions for Industrial Shot Peening

Paul Mort, Langdon Feltner, Mark Gruninger and David Bahr

Purdue University Department of Materials Engineering, Center for Surface Engineering Enhancement (CSEE)

Abstract

Dynamic image analysis has developed into a mature technology for particle characterization, capable of measuring size and shape distributions of particles based on their 2D projections in flows that can be manipulated to promote either aligned or random orientation. Current CSEE work on industrial shot peening includes size and shape characterization of both cut wire and cast steel shot. Experimental data are compared with archetypal shapes specific to each manufacturing process. We plan to discuss modeling of peening intensity based on kinetic energy transfer through contact radii that are both size and shape-dependent. Parameterized archetypal particle shapes representing cut-wire and melt-atomization cast shot processes are shown on a shape map diagram (Fig. 1). As an example, experimental data for cast shot (S70, Ervin Industries, Adrian, MI) obtained using dynamic image analysis (Solidsizer, JM Canty, Lockport, NY) are analyzed for shape distribution (Fig. 2), and further illustrated on the shape map (Fig. 3).