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Real-Time Energy Prediction for a Milling Machine Tool Using Sparse Gaussian Process Regression

December 28, 2015

Author(s)

Sudarsan Rachuri, Jinkyoo Park, Kincho Law, Raunak Binge, Mason Chen, David Dornfeld

This paper describes a real-time data collection framework and an adaptive machining learning method for constructing a real-time energy prediction model for a machine tool. To effectively establish the energy consumption pattern of a machine tool over

Standards Landscape and Directions for Smart Manufacturing Systems

August 24, 2015

Author(s)

Yan Lu, Katherine C. Morris, Simon P. Frechette

The future of manufacturing lies in being able to adapt quickly to changing conditions. From smaller lot sizes, to more customization, to sudden changes in supply chain, the variability that manufacturers face is rapidly increasing. The key to enabling

UNIT MANUFACTURING PROCESS MODELS FOR FERROMAGNETIC AND NON-FERROMAGNETIC ALLOY SURFACE INSPECTION METHODS

August 3, 2015

Author(s)

Garretson Ian C. , Kevin W. Lyons, Mahesh Mani, Swee K. Leong, Matthew Carter D. , Ann Simmons E. , Karl Haapala R.

Industrial uses of natural resources are increasing at an alarming rate. Engineering and decision support tools are needed for analyzing and curbing industrial consumption of resources. Further, assessment methods to measure and indicate continuous

A Generalized Data-Driven Energy Prediction Model with Uncertainty for a Milling Machine Tool using Gaussian Process

June 8, 2015

Author(s)

Jinkyoo Park, Raunak Bhinge, Nishant Biswas, Amrita Srinivasan, Kincho H. Law, David Dornfeld, Moneer Helu, Sudarsan Rachuri

Using a machine learning approach, this study investigates the effects of machining parameters on the energy consumption of a milling machine tool, which would allow selection of optimal operational strategies to machine a part with the minimum energy

Developing a decision support system for improving sustainability performance of manufacturing processes

March 3, 2015

Author(s)

Seungjun Shin, Duck B. Kim, Guodong Shao, Alexander Brodsky, David J. Lechevalier

It is difficult to formulate and solve optimization problems for sustainability performance in manufacturing. The main reasons for this are: 1) optimization problems are typically complex and involve manufacturing and sustainability aspects, 2) these

Proceedings of the Measurement Science for Sustainable Construction and Manufacturing Workshop Volume II. Presentations

March 2, 2015

Author(s)

Bilal Ayyub, Gerald Galloway, Richard Wright

This report documents the effort launched by the National Institute of Standards and Technology (NIST) to develop, organize, and convene a workshop on sustainability to promote the adoption and use of sustainable construction and manufacturing and guide

Building Analytical Support for Homeland Security

February 2, 2015

Author(s)

Sanjay Jain, Charles W. Hutchings, Yung-Tsun Lee

This chapter discusses modeling and simulation as a significant means for providing analytical support for homeland security problem solving and decision making that involves what can be considered a complex and dynamic system of systems - the current

Faceted Classification of Manufacturing Processes for Sustainability Performance Evaluation

December 1, 2014

Author(s)

FNU Kumaraguru, Sudarsan Rachuri, David J. Lechevalier

Sustainability characterization of manufacturing processes is key to the inventory data development for life cycle analysis of products and processes in manufacturing industries. The ability of an organization to compare and contrast this sustainability

DECISION GUIDANCE METHODOLOGY FOR SUSTAINABLE MANUFACTURING USING PROCESS ANALYTICS FORMALISM

November 25, 2014

Author(s)

Guodong Shao, Alexander Brodsky, Seungjun Shin, Duck B. Kim

Sustainable manufacturing has significant impact on a companys business performance and competitiveness in todays world. A growing number of manufacturing industries are initiating efforts to address sustainability issues; however, to achieve a higher

Towards Development of a Testbed for Sustainable Manufacturing

November 25, 2014

Author(s)

Juyeon Lee, Seungjun Shin, Yung-Tsun T. Lee, Don E. Libes

A growing number of manufacturing companies are treating sustainability as a strategic objective that will increase both their global competitiveness and their market share. To implement this objective, these companies must first assess, and then evaluate

An Intelligent Machine Monitoring System for Energy Prediction Using a Gaussian Process Regression

October 27, 2014

Author(s)

Sudarsan Rachuri, Moneer M. Helu

Recent advances in machine automation and sensing technology offer new opportunities for continuous condition monitoring of an operating machine. This paper describes an intelligent machine monitoring framework that integrates and utilizes data collection

Proceedings of the Measurement Science for Sustainable Construction and Manufacturing Workshop Volume I. Position Papers and Findings

October 21, 2014

Author(s)

Bilal Ayyub, Gerald Galloway, Richard Wright

Proceedings of the Measurement Science for Sustainable Construction and Manufacturing Workshop Volume II. Presentations

October 20, 2014

Author(s)

Bilal Ayyub, Gerald Galloway, Richard Wright

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