Ian C. Garretson
University of California, Davis
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Featured researches published by Ian C. Garretson.
Journal of Manufacturing Science and Engineering-transactions of The Asme | 2017
Barbara Linke; Ian C. Garretson; François M. Torner; Joerg Seewig
Journal of Manufacturing Science and Engineering. Received March 30, 2017; Accepted manuscript posted July 13, 2017. doi:10.1115/1.4037239 Copyright (c) 2017 by ASME Grinding energy modeling based on friction, plowing and shearing py ed ite d Barbara S. Linke University of California Davis, Mechanical and Aerospace Engineering Department 1 Shields Ave, Davis, CA 95616 USA [email protected] ASME member t N ot Co Ian Garretson University of California Davis, Mechanical and Aerospace Engineering Department 1 Shields Ave, Davis, CA 95616 USA [email protected] Ma nu sc rip Francois Torner University of Kaiserslautern Institute for Measurement and Sensor‐Technology Gottlieb‐Daimler‐Strase 67663 Kaiserslautern Germany [email protected]‐kl.de Ac ce pt ed Joerg Seewig University of Kaiserslautern Institute for Measurement and Sensor‐Technology Gottlieb‐Daimler‐Strase 67663 Kaiserslautern Germany [email protected]‐kl.de Downloaded From: http://manufacturingscience.asmedigitalcollection.asme.org/pdfaccess.ashx?url=/data/journals/jmsefk/0/ on 07/14/2017 Terms of Use: http://www.asme.org/a
Volume 4: 19th Design for Manufacturing and the Life Cycle Conference; 8th International Conference on Micro- and Nanosystems | 2014
Ian C. Garretson; Christopher J. Eastwood; Michael D. Eastwood; Karl R. Haapala
While environmental impact analysis is standard in accordance with ISO 14040:2006 using life cycle assessment software, such as GaBi and SimaPro, software tools supporting broader sustainability assessment are limited. Recent research has developed methods for sustainable manufacturing assessment and has led to unit manufacturing process models that can be used to quantify sustainability metrics. In spite of these advances, engineering designers must apply such methods in an ad hoc manner, which increases engineering analysis time and limits the utility of sustainability assessment in early design. Thus, manufacturing process models and supporting software tool are developed to assist design for manufacturing efforts pursuing sustainability performance improvement. The software is constructed using Visual Basic to create a graphical user interface for an MS Excel calculation engine. Using unit manufacturing process models, a product sustainability assessment can be generated by chaining together a sequential manufacturing process flow. In this way, cradle-to-gate assessments can support decisions made during product, process, and supply chain design. The method combines upstream inventory analysis and in-house unit process modeling to perform cradle-to-gate sustainability assessment. The utility of the approach is demonstrated for the assessment of an aircraft-like metal product assembly.Copyright
Volume 4: 19th Design for Manufacturing and the Life Cycle Conference; 8th International Conference on Micro- and Nanosystems | 2014
Jessica L. Armstrong; Ian C. Garretson; Karl R. Haapala
Recent manufacturing research has focused attention on methods for improving the sustainability performance of high-volume manufacturing. Most manufacturing businesses operate at the small to medium scale, however, and would benefit from the transfer of knowledge gained from this work to lower volume production. To demonstrate an example of this knowledge transfer, the sustainability performance of two manufacturing strategies is investigated for small-scale caddisfly jewelry production. Control over the aesthetics of the end product is an important feature of jewelry manufacturing. In this case, however, increasing product quality control can have life cycle impacts which are unaccounted for in typical decision making. To make a decision between two caddisfly jewelry manufacturing strategies, a comparative gate-to-gate sustainability assessment was performed. The method combines life cycle inventory analysis, life cycle costing, and worker injury risk assessment to develop a holistic comparison encompassing the three pillars of sustainability. The assessment revealed tradeoffs between environmental impacts, costs, and social impacts for the two scenarios. Thus, hierarchical importance of the three sustainability pillars is needed to make stakeholder decisions. In this small-scale manufacturing case, such decision-making is found to be primarily driven by the personal values of the business owners.Copyright
ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing | 2017
Ian C. Garretson; Bernd Peukert; Barbara Linke; Eckart Uhlmann
The design of a high precision machine tool presents one main goal for an engineer: to maximize productivity while minimizing resource inputs and wasted outputs. Incorporating additional design req ...
Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- and Nanosystems | 2015
Ian C. Garretson; Kevin W. Lyons; Mahesh Mani; Swee K. Leong; Matthew D. Carter; Ann E. Simmons; Karl R. Haapala
Industrial use 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 improvement are also needed. Modeling individual manufacturing processes facilitates the generation of quantifiable evidence that improvements are being made. Such a modeling approach is developed and demonstrated in this paper to characterize sustainability performance of two metals inspection processes: magnetic particle inspection for ferromagnetic alloys and penetrant inspection for non-ferromagnetic alloys. Individual unit manufacturing process (UMP) models were developed by observing the inspection practices at an aircraft component manufacturer, and a mathematical basis for comparison with other inspection processes was identified. The paper further demonstrates the aggregation of performance metrics from all UMPs across a manufacturing process flow thus providing a basis for generating detailed sustainability performance assessments of manufactured products. By developing and documenting a comprehensive set of UMP models, more complete knowledge of manufacturing processes can be gained by industry practitioners, leading to continuous improvement of sustainability performance.Copyright
Journal of Cleaner Production | 2016
Ian C. Garretson; Mahesh Mani; Swee K. Leong; Kevin W. Lyons; Karl R. Haapala
Procedia Manufacturing | 2017
Barbara Linke; Ian C. Garretson; Fahad M. Jan; M. Hafez
Manufacturing letters | 2017
William Z. Bernstein; Arun Bala Subramaniyan; Alexander Brodsky; Ian C. Garretson; Karl R. Haapala; Don E. Libes; Katherine C. Morris; Rong Pan; Vittal Prabhu; Arkopaul Sarkar; Arvind Shankar Raman; Zhenhua Wu
Procedia Manufacturing | 2015
Babak Lajevardi; Ian C. Garretson; Brian K. Paul; Karl R. Haapala
Procedia CIRP | 2018
Henning Voet; Ian C. Garretson; Björn Falk; Robert Schmitt; Barbara Linke