The University of Texas at San Antonio
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Scientific Report
No full textThis collection includes digitized publications of the Texas Biomedical Research Institute between 1953 and the present
05 of 22 - Schedule "B" - Interned Families Japanese Origin - Camp Drawings
No full textRoster of all interned families of Japanese origin by last names, assigned bungalows, and states or countries of pre-interned place of residence. Families of Japanese origin provided by Sumi Shimatsu-Utsushigawa via Linda Harms-Okazaki (2012). Total of 547 families of Japanese origin
04 of 22 - Schedule "A" - Interned Families European Origin - Camp Drawings
No full textRoster of all interned families of German and Italian origins by last names, assigned bungalows, and states or countries of pre-interned place of residence. Information was provided by former internees and family members, as well as www.foitimes.com. Total of 513 families of European origin
24th International Conference on Flexible Automation and Intelligent Manufacturing; FAIM 2014; Flexible Automation and Intelligent Manufacturing
No full textProgram and abstracts of the 142 papers accepted for presentation at the FAIM 2014 International Conference, held in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Conference Chair: F. Frank Che
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; This study presents an efficient rough-cutting strategy for machining a centrifugal impeller. Much of the machining time is consumed in rough cutting, where unnecessary stock materials are removed in between impeller blades. Thus, most of researchers focus on 5-axis rough machining of an impeller, controlling all the five axes simultaneously as fast as possible. In previous research, we introduced a 3-axis machining strategy that removes as much material as possible from the areas between blades. Thus, the main purpose of the research was to improve the machining efficiency by reducing the machining time. We achieved 19 percent of total machining time reduction by using the 3-axis rough machining. For further improvement, this paper will introduce an improved 3-axis machining strategy by applying feed-rate scheduling for more efficient rough cutting. There are two types of feed rate scheduling, namely, cutting force and material removal rate based scheduling. This research will focus on feed-rate scheduling based on cutting force to increase the feed-rate onto an allowable level. Current research in feed-rate scheduling applies cutting force calculations for each cutter-workpiece engagement, experimenting with different depth-of-cut layers. In this paper, we will calculate cutting force for each cutter-workpiece engagement by employing a finite element method. Cutting tool and workpiece geometry will be meshed and analyzed to find out best feed-rate scheduling. The rest of material that is left from the 3-axis machining will be removed by 5-axis machining. The result shows that by applying this hybrid roughing strategy, namely, 3-axis machining with feed-rate scheduling and 5-axis machining, total rough machining time can be reduced significantly up to 43 percen
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; Most of the literatures for inventory management policies of supply chain systems with remanufacturing had focused solely on warehouse operation. The existence of its optimal policy has yet been confirmed. In addition, the IT platform nowadays has been well developed so that user phase alignment could be executed at relatively low cost and it is a global phenomenon for companies to pursue cross-tier stretch along its value chain. In this study, a supply chain model comprised of three major biz entities (warehouse, remanufacturing facility and user phase) is presented. An optimal (s,S) type policy for this model is first introduced under the non-leadtime assumption and then extended to the leadtime scenario. The theoretically optimal policy is not applicable as a consequence of lacking information with regard to the failure product’s return flow. In order to solve this issue, data mining within the user phase is executed and the specification of user phase information that serves to implementing the optimal policy is articulated. Additionally, numerical experiments are presented to verify the optimality of the (s,S) type policy and the contribution of user phase information sharing to inventory cost reduction
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; The following conceptual contribution is based on the two scientific fields Digital Factory (DF) as well as end-user electronics. The two fields which describe the starting points for the conceptional contribution offer promissing potential for the future production and planning process. At first it can be stated that the DF is an established umbrella in industry. However, many enterprises are not capable to reap the full potential of the DF. Major obstacles are the efforts for creating digital models, updating models due to adjustments of real-world systems and employing digital models for operational planning like production planning and control. Hence, there is a clear gap between real-world production systems and their digital counterparts, which should be filled by synchronizing both worlds in reasonable – or even real – time. A further observation provides the second starting point: Latest end-user electronics made for everyday life provide powerful computing and visualization power as well as intuitive design at reasonable cost. Hence, virtual technologies (i.e. Augmented- and Virtual Reality) are not restricted to a small group of specialists anymore. The consequent question is how such rapid developments fit or can be fitted into the harsh industrial context. We propose that shop floor employees use virtual technologies to interact between synchronized worlds and software agents offer aggregated information to users. Utilizing software agents leads ultimately to semi-automatic planning processes where agents run simulations autonomously and propose planning scenario
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; The health issues associated with exposure to cutting fluids is an increasing concern among occupational health researchers. However, this issue has been overlooked in manufacturing enterprises from engineering prospective. The aim of this paper is to provide a multi-disciplinary review of the health issues related to the use of cutting fluids in machining companies and provides some alternative solutions through a series of case studies. The studies indicated that minimum quantity lubrication, biostable oils, cryogenic machining and dry machining are potential alternatives to traditional flood cooling with potential to improve machinabilit
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; Manufacturing technology can improve the turnover of a company if it enables fast market introduction for volume production. Reconfigurable equipment is developed to meet the growing demand for more agile production. Modular reconfiguration, defined as changing the structure of the machine, enables larger variation of products on a single manufacturing system; these solutions are called Reconfigurable Manufacturing Systems (RMS). The quality of RMS, and the required resources to bring it to reliable production, is largely determined by a swift execution of the reconfiguration process. This paper proposes a method to compare alternatives for the ways to implement reconfiguration. Three classes of reconfiguration are defined to distinguish the impact of the proposed alternatives. The procedure uses a recently introduced index method for development of RMS process modules. This index method is based on the Axiomatic Design theory. Weighing factors are used to calculate the resources and lead time needed to implement the reconfiguration process. Application of the method leads to quick comparison of alternatives in the early stage of development. Successful execution of the method was demonstrated for the manufacturing process of a 3D measuring prob
Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing; FAIM 2014
No full textPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio; Includes bibliographical references; In the current economic scenario, it is an increasing trend companies seeking to adapt their production systems to meet the new market demands, and at the same time to increase efficiency in their processes. Among the various methodologies available, lean manufacturing stands out as a valuable approach to have an efficient supply chain. Lean manufacturing seeks to eliminate waste, and to optimize the company resources. This paper describes the implementation of lean manufacturing concepts in a company that manufactures custom (ETO - Engineering to Order) products for road transportation (e.g. tow truck). Value Stream Mapping (VSM) was applied to one of the products of the company, which has a high variety of parts, materials, and assembly processes. VSM corresponds to a visual representation of the flow of materials and information for a product family, helping: (a) analyze the value stream in the current state, (b) identify the main sources of waste, (c) propose improvements to the current state, (d) add value to the customer. The results obtained were as follows: 75% reduction in storage time of raw materials, 49% reduction in the manufacturing lead time, 80% reduction in transport time of materials and products, 94% reduction in setup time of the assembly area, 75% reduction in waiting time, 50% reduction in positioning time of parts and subassemblies, and 20% reduction in processing time. This shows the potential application of lean concepts in ETO manufacturing environments, and the procedure proposed in this paper can be used as a reference by other similar companie