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Development of a Stereolithography Laboratory for Undergraduate Instruction

Development of a Stereolithography Laboratory for Undergraduate Instruction
本科教学立体光刻实验室的开发
批准号:
9650013
负责人:
Paul Cheng-Hsin Liu
金额:
$8.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-07-15 至 1998-06-30

项目摘要

项目成果

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中文摘要
翻译
无论一个人在阅读复杂物体的阅读蓝图和计算机辅助设计(CAD)图像方面多么有经验,仍然很难准确地想象实际部分的样子。传统的模型制作方法可能需要数周至数月的时间。然而,使用快速成型(RP)或立体光刻技术,模型制作步骤的周转时间可以缩短到几天,模型本身通常可以在几个小时内制作出来,这在工业市场的全球性使得最小化上市周期时间和最大化生产力成为企业生死存亡的问题时是一个引人注目的优势。近年来,对训练有素的工程师和技术人员将快速成型技术应用于制造业的需求呈爆炸式增长。RP技术的一些实际应用是可视化、验证、迭代、优化,甚至是“真实的零件”制造。 RP几乎影响到每一个制造相关的企业和无数的产品,从汽车,飞机电子零件到玩具,珠宝,医疗植入物,建筑和科学模型,等等。仅作为原型市场规模的一个指标,在美国,原型密集型行业的大公司每年花费400亿美元用于研发,仅通用汽车公司的Fisher Guide部门每年就生产超过25万个原型/模型。就像用于构建三维(3D)原型的CAD系统外围设备一样,美国对RP系统的需求在20万美元的范围内,按照目前RP价格12万至50万美元的价格,转化为200亿至1000亿美元。目前全球仅安装了1000套RP系统。生产的市场要大很多倍。美国企业已经发现,这项技术对制造业在全球市场上的竞争力至关重要。虽然美国公司目前在快速成型技术的发展方面处于领先地位,但日本和欧洲公司正在迅速赶上,因此,熟练的工程师和技术人员对于保持这一领先地位至关重要。 由于缺乏完善的实验室,本科课程目前不提供RP技术培训。学生不熟悉快速成型工艺,光聚合物制造,软件架构,CAD建模,零件制造和测试。这些技能将是必不可少的毕业生在学士学位水平在未来十年内,因为这种技术的使用在今天的行业变得非常流行。 该提案旨在建立一个最先进的立体光刻实验室。我们要求为这个实验室提供资金的原因是提供能力,功能和RP技术集成到制造系统中的培训。据信,这个实验室可以用来创造一个更好的平衡,提高本科教育在制造系统。
英文摘要
No matter how experienced one may be at reading blueprints and computer-aided-design CAD) images of a complex object, it is still very difficult to visualize exactly what the actual part will look like. Conventional model-making methods can require weeks to months. With Rapid Prototyping (RP) or Stereolithography technology, however, turnaround for the model-making step can be cut to days, and the model itself can often made within several hours, a compelling advantages at a time when the global nature of the industrial marketplace makes minimizing time to-market cycle times and maximizing productivity a matter of corporate life and death. The demand for trained engineers and technologists to apply Rapid Prototyping technology to manufacturing has exploded in recent years. Some of the practical applications of RP technology are visualization, verification, iteration, optimization, and even "real parts" fabrication. RP effects almost every manufacturing-related enterprise and an endless list of products from automotive, aircraft electronics parts to toys, jewelry, medical implants, to architectural and scientific models, and etc. As an indication of the size of the prototype market alone, $40 billion is spent in U.S. annually on R&D by large companies in prototype-intensive industries, and Fisher Guide Division of General Motors alone makes over 250,000 prototypes/models a year. Just as a CAD system peripheral for building three-dimensional (3D) prototypes, the need for RP systems in U.S. is in the range of 200,000 what at current RP prices of $120,000 to $500,000 translates into $20 to $100 billion. Only 1000 RP systems are installed now worldwide. The market for production is many times larger. American businesses have found that this technology is critical to competitiveness in manufacturing in the global marketplace. Although American companies currently lead in development of the Rapid Prototyping technology, Japanese and European companies are catching up quickly, therefore, skilled engineers and technologists are critical to maintain this lead. Due to the lack of a fully developed laboratory, undergraduate courses currently do not provide training on RP technology. Students are not familiar with Rapid Prototyping processes, photopolymer fabrication, software architecture, CAD Modeling, part building, and testing. These skills will be essential to the graduating students at the baccalaureate level within the next ten years since the usage of this technology is getting very popular in industry today. This proposal is to develop a state-of-the art Stereolithography Laboratory. The reason we are requesting funds for this laboratory is to provide training in capabilities, function and integration of RP technologies into manufacturing systems. It is believed that this laboratory can be used to create a better balance for an improved undergraduate education in manufacturing systems.
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