SBIR Phase II: Detection Systems for High-Speed Optoelectronic Sortation of Low Z Metal Alloys

SBIR 第二阶段：低 Z 金属合金高速光电分选检测系统

• 批准号: 0321298
• 负责人: Leigh Peritz
• 金额: --
• 依托单位: wTe Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0321298&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Detection; Systems

This Small Business Innovation Research (SBIR) Phase II project will develop a novel prototype optoelectronic sensing system for the high-speed identification and sorting of metals, particularly aluminum alloys. The goal is to develop the capability to sort aluminum into its exact alloy designations. The technology is expected to sort materials in less than 50-milliseconds per item automatically without operator intervention while the scrap is in motion on a high-speed conveyor belt. The scrap recycling industry reports that more than 30 billion pounds of nonferrous metals are produced each year in the U.S. alone. The U.S. Environmental Protection Agency (USEPA) reports that more than 10 billion pounds of these nonferrous metals are discarded each year in landfills, because recycling is either technically or economically impractical. Existing methods of sortation that employ visual examination and hand sortation, or alternatively employ heavy media separation, cannot sort aluminum by alloy type. Refining is accomplished in smelting facilities that are expensive to build and often polluting. Using advanced spectrographic detection techniques, including computer analysis; the proposed technology will improve alloy identification accuracy and automatically sort aluminum metal alloys at speeds never before attainable. The commercial impact of this project will be increased scrap utilization, increased scrap value, reduced pressure on non-renewable resources, and reduced environmental pollution. The potential worldwide market exceeds $2 billion annually.

该小型企业创新研究（SBIR）第二阶段项目将开发一种新型的光电传感系统原型，用于高速识别和分选金属，特别是铝合金。目标是开发将铝分类成其确切合金名称的能力。该技术预计将在不到50毫秒的时间内自动分拣每件材料，而无需操作员干预，同时废料在高速传送带上运动。废料回收行业报告说，仅在美国每年就生产超过300亿磅的有色金属。美国环境保护署（USEPA）报告说，每年有超过100亿磅的有色金属被丢弃在垃圾填埋场，因为回收在技术上或经济上都不切实际。现有的采用目视检查和手工分选或者采用重介质分离的分选方法不能按合金类型分选铝。精炼是在冶炼设施中完成的，这些设施建造成本高，而且经常造成污染。使用先进的光谱检测技术，包括计算机分析;所提出的技术将提高合金识别的准确性，并以前所未有的速度自动分拣铝金属合金。 该项目的商业影响将是提高废料利用率，增加废料价值，减少对不可再生资源的压力，并减少环境污染。潜在的全球市场每年超过20亿美元。