A virtual milling machine model to generate machine-monitoring data for predictive analytics

Published

October 18, 2015

Author(s)

David Lechevalier, Seungjun Shin, Jungyub Woo, Sudarsan Rachuri, Sebti Foufou

Abstract

Real data from manufacturing processes are essential to create useful insights for decision-making. However, acquiring real manufacturing data can be expensive and time consuming. To address this issue, we implement a virtual milling machine model to generate machine monitoring data from process plans. MTConnect is used to report the monitoring data. This paper presents 1) the characteristics and specification of milling machine tools, 2) the architecture for implementing the virtual milling machine model, and 3) the integration with a simulation environment for extending to a virtual shop floor model. This paper also includes a case study to explain how to use the virtual milling machine model for predictive analytics modeling.

Conference Dates

October 19-21, 2015

Conference Location

Doha, QA

Conference Title

The Product Lifecycle Management (PLM) Conference 2015

Pub Type

Conferences

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Keywords

STEP, MTConnect, milling, data generator, data analytics

Citation

Lechevalier, D. , Shin, S. , Woo, J. , Rachuri, S. and Foufou, S. (2015), A virtual milling machine model to generate machine-monitoring data for predictive analytics, The Product Lifecycle Management (PLM) Conference 2015, Doha, QA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=918858 (Accessed October 22, 2025)