Data-Driven Machining: How to Optimize your Machining Process with Minimum Interruption to Production
June 04, 2019
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Effective machining process improvement and optimization relies on evaluation of the right data with minimum disruption to production. Data-driven evaluation and testing of six key elements of machining can solve today’s challenges on both legacy and state-of-the-art machines and build a foundation for competitiveness into the emerging era of Industry 4.0’s digitized operations.
- How to improve part quality, production efficiency and reduce costs
- Six key elements of machinability evaluations and their outputs
- Machinability evaluation options that minimize disruption to your production
Steve Clark, Director of Engineering at TechSolve, Inc.
Steve Clark is a results-driven engineer with a passion for all things metal. Steve’s expertise is in delivering solutions to manufacturers of gas turbine engines, aircraft and engine components as well as a vast assortment of other high temperature machinery and systems.
George Adinamis, Senior Engineer – Manufacturing Process Solutions at TechSolve, Inc.
George develops machining process plans from simple to complex machined parts for the aerospace, automotive industrial, medical, and off-road industries. Through machinability studies, George validates specific recommendations that help manufacturers reduce production costs, increase part quality and optimize their processes without interrupting customer operations.