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31. Influence of the central mode and soft phonon on the microwave dielectric loss near the strain-induced ferroelectric phase transitions in Sr^dn+1^uTi^dn^uO^d3n+1^u*
Topic: Manufacturing
Published: 11/12/2014
Authors: V. Goian, S. Kamba, D Nuzhnyy, Nathan Orloff, T. Birol, C.-H Lee, D. G. Schlom, James C Booth
Abstract: Recently, Lee et al.^u[1]^dused~1% tensile strain to induce a ferroelectic instability in thin films of Sr^dn+1^uTi^dn^uO^d3n+1^u (n=1-6) phases. They showed that the Curie temperature T^dc^u gradually increased with n, reaching 180 K for Sr7Ti6O19 ...

32. Toward Smart Manufacturing Using Decision Guidance Analytics
Topic: Manufacturing
Published: 11/1/2014
Authors: Alexander Brodsky, Mohan Krishnamoorthy, Daniel A Menasce , Guodong Shao, Sudarsan Rachuri
Abstract: This paper is focused on decision analytics for smart manufacturing. We consider temporal manufacturing processes with stochastic throughput and inventories. We demonstrate the use of the recently proposed concept of the decision guidance analytics l ...

33. Proceedings of the Measurement Science for Sustainable Construction and Manufacturing Workshop Volume II. Presentations
Series: Grant/Contract Reports (NISTGCR)
Topic: Manufacturing
Published: 10/20/2014
Authors: Bilal Ayyub, Gerald Galloway, Richard Wright
Abstract: 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 gu ...

34. Streamlining the Additive Manufacturing Digital Spectrum: A Systems Approach
Topic: Manufacturing
Published: 10/18/2014
Authors: Duck Bong Kim, Paul W Witherell, Robert R Lipman, Shaw C Feng
Abstract: Additive Manufacturing (AM) provides great potential for industrial manufacturers who require low volume and functional, highly complex end use products. Given AM‰s potential, numerous research efforts are underway to reduce the time and improve the ...

35. Towards a Domain-Specific Framework for Predictive Analytics in Manufacturing
Topic: Manufacturing
Published: 10/3/2014
Authors: David Jacques Antoine Lechevalier, Anantha Narayanan Narayanan, Sudarsan Rachuri
Abstract: Data analytics is proving to be very useful for achieving productivity gains in manufacturing. Predictive analytics (using advanced machine learning) is particularly valuable in manufacturing, as it leads to production improvement with respect to the ...

36. An improved L1 based algorithm for standardized planar datum establishment
Topic: Manufacturing
Published: 10/1/2014
Authors: Craig M Shakarji, Vijay Srinivasan
Abstract: This paper has two major goals. First, we present an algorithm for establishing planar datums suitable for a default in tolerancing standards. The algorithm is based on a constrained minimization search based on the L_1 (L1) norm after forming a conv ...

37. Obstacle Detection and Avoidance from an Automated Guided Vehicle
Topic: Manufacturing
Published: 9/18/2014
Authors: Roger V Bostelman, William P Shackleford, Geraldine S Cheok
Abstract: Current automated guided vehicle (AGV) technology typically provides material handling flow along single or dual opposing-flow lanes in manufacturing and distribution facilities. An AGV stops for most any obstacle that may be in its path which then ...

38. Collaborative Robotics: A Gateway into Factory Automation
Topic: Manufacturing
Published: 9/3/2014
Author: Jeremy A Marvel

39. New AGV Capabilities are Safety Driven
Topic: Manufacturing
Published: 9/3/2014
Authors: Roger V Bostelman, William P Shackleford
Abstract: Current automated guided vehicle (AGV) technology typically provides material handling flow along single or dual opposing-flow lanes in manufacturing and distribution facilities. An AGV stops for most any obstacle that may be in its path which then s ...

40. Toward Metamodels for Composable and Reusable Additive Manufacturing Process Models
Topic: Manufacturing
Published: 8/12/2014
Authors: Paul W Witherell, Shaw C Feng, Timothy Simpson
Abstract: Despite the existence and interest in additive manufacturing (AM) for many decades, industry adoption of AM technologies has been relatively slow. Recent advances in modeling and simulation of AM processes and materials are providing new insights to ...

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