Surface location error in robotic milling: Effect of combined low frequency and high frequency vibration modes
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Swan, Richard (ORCID:0000000274203463)↗
Engineering topics
Corson, Gregory
Publications and source records attributed to Corson, Gregory.
Minimum cost, stability constrained preform optimization for hybrid manufacturing
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Corson, Gregory↗
Cutting force estimation from machine learning and physics-inspired data-driven models utilizing accelerometer measurements
Monitoring cutting forces for process control may be challenging because force measurements typically require invasive instrumentation. To remedy this situation, two new methods were recently developed to estimate cutting forces in real time based on the use of on-machine accelerometer measurements. One method uses machine learning, while another uses a physics-inspired data-driven approach, to generate a model that estimates cutting forces from on-machine accelerations. The estimated forces from both approaches were compared against cutting force data collected during various milling operations on several machine tools. The results reveal the advantages and disadvantages of each model to estimate real-time cutting forces.
Vogl, Greg↗
A framework for hybrid manufacturing cost minimization and preform design
Here, this paper describes preform design optimization in hybrid additive-subtractive manufacturing. In hybrid manufacturing, the question of what form and what geometry the additive preform should take has largely been a matter of intuition and experience, or trial and error. The choice of a more optimal preform depends on the target parameters, such as stiffness, cost, or lead time. We demonstrate a framework for preform optimization using static stiffness, and then the combined cost of additive and subtractive manufacturing, while respecting stable cutting conditions for the tool-part combination. The procedure is illustrated by comparing three preform geometries for a thin wall.
42 ENGINEERING↗