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

SBIR/STTR 第一阶段：低 Z 金属合金高速光电分选检测系统

• 批准号: 0128048
• 负责人: David Spencer
• 金额: $ 9.99万
• 依托单位: wTe Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-01-01 至 2002-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0128048&HistoricalAwards=false
• 关键词: SBIR; STTR; Phase; Detection; Systems

This Small Business Innovation Research Phase I Project will develop a novel optoelectronic sensing system for the high-speed identification and sorting of metals including aluminum alloys. The goal is to demonstrate the ability to unambiguously identify metal alloys by alloy type, including low atomic number elements, in less than 50-milliseconds per sample. The Scrap Recycling Industry reports that more than 30 billion pounds of nonferrous scrap metals are produced each year in the U.S. alone. About 70% of this scrap is aluminum or aluminum alloys. 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 neither technically nor economically practical. Existing methods of sortation use visual examination and hand sortation. Smelting facilities for mixed metals are polluting and expensive to build and operate. Using advanced spectrographic radiation and detection techniques, including computer analysis, the proposed technology will improve alloy identification accuracy and sort metal alloys automatically by type of alloy at speeds never before attainable.The commercial impact of this project will be increased scrap utilization, increased scrap value and reduced environmental pollution is enormous. The potential worldwide market exceeds $2 Billion annually.

该小型企业创新研究第一阶段项目将开发一种新型光电传感系统，用于高速识别和分类包括铝合金在内的金属。目标是证明能够在每个样品不到 50 毫秒的时间内按合金类型（包括低原子序数元素）明确识别金属合金。据废品回收行业报告称，仅美国每年就生产超过 300 亿磅的有色废金属。这些废料中大约 70% 是铝或铝合金。美国环境保护署 (USEPA) 报告称，每年有超过 100 亿磅的有色金属被丢弃在垃圾填埋场，因为回收在技术上和经济上都不可行。现有的分选方法使用目视检查和手工分选。混合金属冶炼设施污染严重，建设和运营成本高昂。利用先进的光谱辐射和检测技术，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按合金类型自动分类金属合金。该项目的商业影响将是提高废料利用率、增加废料价值和减少环境污染。全球潜在市场每年超过 20 亿美元。