Improved machining performance through tool presetting and process dynamics modeling

• Grant number: 17/50019-0
• Support Opportunities: Regular Research Grants
• Start date: June 01, 2017
• End date: May 31, 2018
• Field of knowledge: Engineering - Mechanical Engineering
• Agreement: UNC Charlotte
• Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
• Principal Investigator: Milton Vieira Junior
• Grantee: Milton Vieira Junior
• Principal researcher abroad: Tony Schimitz
• Institution abroad: University of North Carolina at Charlotte (UNCC), United States
• Host Institution: Universidade Nove de Julho (UNINOVE). Campus Memorial. São Paulo , SP, Brazil
• Associated research grant: 15/16593-6 - Diagnosis of the use of presetting systems (tool setting) in companies users of CNC machines, AP.R

Abstract

This research project will leverage ongoing manufacturing research at Universidade Nove de Julho (Milton Vieira Junior and Elesandro Antonio Baptista) and the University of North Carolina at Charlotte (Tony Schmitz). For the FAPESP grant, the productivity of computer numerically-controlled (CNC) machines will be improved through the use of tool presetting systems, where the setup time is reduced by measure the cutting tools as loaded in the machine tool magazine. Current presetting practices will be established and existing presetting systems will be evaluated to determine their accuracy (e.g., tool diameter and length measurements). To extend the FAPESP research effort, a collaboration with UNC Charlotte will incorporate the influence of the tool diameter and length on the tool-holder-spindle-machine frequency response function (vibration behavior), or FRF. Given the FRF, the machining performance can be predicted (i.e., stability and part accuracy) using physics-based process models. The end goal is to demonstrate the role of tool presetters in: 1) reducing setup time; and 2) selecting machining parameters that ensure "first part correct" production. (AU)