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公开(公告)号：KR100463232B1
公开(公告)日：2004-12-23
申请号：KR1020010063114
申请日：2001-10-12
Applicant: 한국과학기술연구원
IPC: B22F3/04
CPC classification number: B22F3/225 , B22F3/1025 , B22F2998/00 , B22F2999/00 , C04B35/63 , C04B35/632 , C04B35/634 , C04B35/63408 , C04B35/638 , C04B2235/3847 , C04B2235/405 , C04B2235/5436 , C04B2235/6022 , B22F2202/03 , B22F2201/04
Abstract: 분말사출성형법 또는 압축성형법에 의해 제조되는 성형물 내의 주결합제를 제거하기 위하여 이산화탄소와 프로판의 초임계 혼합유체를 탈지용매로 이용하여 결합제 중 주결합제인 왁스류의 탈지방법에 관한 것이다.
Abstract translation: 在从成型部件除去蜡材料的方法中，从通过粉末注射成型法或压缩成型法制造的成型部件除去主要粘合剂蜡，使用二氧化碳和丙烷的超临界混合流体作为 一种脱蜡溶剂。
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公开(公告)号：KR1020030030753A
公开(公告)日：2003-04-18
申请号：KR1020010063114
申请日：2001-10-12
Applicant: 한국과학기술연구원
IPC: B22F3/04
CPC classification number: B22F3/225 , B22F3/1025 , B22F2998/00 , B22F2999/00 , C04B35/63 , C04B35/632 , C04B35/634 , C04B35/63408 , C04B35/638 , C04B2235/3847 , C04B2235/405 , C04B2235/5436 , C04B2235/6022 , B22F2202/03 , B22F2201/04
Abstract: PURPOSE: Provided is a defatting method of waxes from molded products using complex fluid which uses complex fluid of carbon dioxide and propane to eliminate low molecular binders like waxes from the molded products beyond critical temperature and pressure so that it improves the flow of minute solid powder among the binders. CONSTITUTION: The defatting method of the waxes from the molded products using complex fluid comprises the steps of: (i) putting a sample of the molded products to a defatting vessel; (ii) using a high pressure liquid pump to compress the complex fluid of 90wt% of carbon dioxide and 10wt% of propane with keeping temperature constant; and (iii) when the complex fluid reaches an ultracritical condition, beginning to eliminate the wanted binder among the sample.
Abstract translation: 目的：提供使用复杂流体的成型产品的蜡的脱脂方法，其使用二氧化碳和丙烷的复杂流体来消除低分子粘合剂如来自模制产品的蜡超过临界温度和压力，从而改善了分散固体粉末的流动 在粘合剂中。 构成：使用复杂流体的来自成型制品的蜡的脱脂方法包括以下步骤：（i）将模制产品的样品放入脱脂容器中; （ii）使用高压液体泵压缩90重量％二氧化碳和10重量％丙烷的复合流体，保持温度恒定; 和（iii）当复合流体达到超临界状态时，开始消除样品中所需的粘合剂。
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公开(公告)号：KR102241287B1
公开(公告)日：2021-04-16
申请号：KR1020180173573
申请日：2018-12-31
Applicant: 한국과학기술연구원
Abstract: 실시예들은데이터베이스구축장치에포함된행동인식대상특성, 행동인식범위특성, 행동인식환경특성, 관측특성에기초하여행동인식학습용동영상을생성하고, 학습샘플을생성하여사용자가원하는사항들이반영된행동인식학습용데이터베이스를구축할수 있다. 그결과, 상기행동인식학습용데이터베이스를이용하여기계학습한애플리케이션은행동인식성능에있어사용자가원하는기계학습대상에최적화되고, 학습장치에최적화되어높은성능을가진다.
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