This study presents a two-stage, mechanics-based method for optimizing vibratory sorting machine of adult crickets for post-harvest size grading. In the first stage, the static coefficient of friction (COF) was measured for three cricket size classes across seven tray surface conditions to quantify cricket–substrate interactions relevant to vibratory transport. COF varied significantly with both morphology and surface microtexture (p < 0.0001), with intermediate roughness levels generating higher friction than smooth or highly rough surfaces. In the second stage, a factorial experiment evaluated the effects of oscillating speed (300–350 rpm), tray inclination (2°–3°), and surface roughness (G0–G5) on sorting efficiency, throughput, batch sorting time, and specific energy consumption (SEC). All main factors and most interactions significantly influenced sorting performance (p < 0.0001). The optimal operating condition—350 rpm, 2° inclination, and G2 roughness—achieved 95% sorting accuracy, 39 crickets·min−1 throughput, and the lowest SEC (0.37 Wh·cricket−1). The results demonstrate that friction–vibration coupling governs cricket transport on vibrating surfaces and provide an engineering framework for designing scalable, energy-efficient sorting systems for insect rearing and processing.
Duangchanchote et al. (Fri,) studied this question.