34 research outputs found

    Design and Development of Instrumented Remote Centre Compliance

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    In the field of robotics and automatic assembly tooling, it is often necessary to provide some compliance when fitting two parts together or when engaging a tool with a complementarily shaped aperture. This need arises because of the tolerances in gripping and positioning capability of a robot arm and the dimensional tolerances of the members being positioned. The use of excessive force to engage two imperfectly aligned members can lead to damage to the members or assembly tooling. A remote centre compliance (RCC) is a device that can provide a compliance center projected outward from the device. Remote compliance centers decouple lateral and angular motion. A RCC device can be used in assembly to ease the insertion force. When a project compliance center is near the insertion point of a peg-in-hole type assembly, the peg translates into the hole when it strikes the outside lead-in chamfer without rotating. This translation without rotation prevents the jamming and galling seen from compliance devices that have a compliance center far away from the insertion point. The proposed work aims at designing and developing an intelligent RCC device which helps the parts assemble even if there are misalignments of known limits and is capable of capturing useful information for the assembly process

    νŽ™μΈν™€ μž‘μ—…μ„ μœ„ν•œ λ‹€μžμœ λ„ 그리퍼 및 각도 μ—λŸ¬ μΈ‘μ • μ‹œμŠ€ν…œμ˜ 섀계

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    ν•™μœ„λ…Όλ¬Έ (박사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› κ³΅κ³ΌλŒ€ν•™ 기계항곡곡학뢀, 2017. 8. 김쒅원.νŽ™μΈν™€(Peg-In-Hole) μž‘μ—…μ€ λ‘œλ΄‡μ„ ν™œμš©ν•œ μ‘°λ¦½μž‘μ—… 쀑 κ°€μž₯ 기초적인 μž‘μ—…μ΄λΌκ³  ν•  수 μžˆλ‹€. μ‘°κ·Έλ§ˆν•œ μœ„μΉ˜ μ—λŸ¬μ—λ„ λΌμž„ ν˜„μƒ(Jamming λ˜λŠ” Wedging)이 λ°œμƒν•˜κ³  μ΄λŠ” λΆ€ν’ˆ μ‚½μž… 쀑에 νŒŒμ†μ„ μœ λ°œν•  수 있기 λ•Œλ¬Έμ—, 쑰립 λŒ€μƒλ¬Όκ°„μ˜ μœ„μΉ˜ 및 λ°©ν–₯에 λŒ€ν•œ 정렬이 성곡적인 νŽ™μΈν™€ μž‘μ—…μ„ μœ„ν•΄μ„œλŠ” 무엇보닀 μ€‘μš”ν•˜λ‹€. μ΄λŸ¬ν•œ νŽ™μΈν™€ μž‘μ—…μ„ μœ„ν•΄μ„œλŠ” μ§€κΈˆκΉŒμ§€ λ§Žμ€ 연ꡬ가 μ§„ν–‰λ˜μ–΄ μ™”μœΌλ©°, λŒ€μƒλ¬Όκ°„μ˜ μ •λ ¬ 방식에 λ”°λΌμ„œ μˆ˜λ™μ  λ˜λŠ” λŠ₯동적 λ°©λ²•μœΌλ‘œ κ΅¬λΆ„λœλ‹€. RCC(Remote Center Compliance)둜 λŒ€ν‘œλ˜λŠ” μˆ˜λ™μ μΈ 정렬방법은 μ»΄ν”ŒλΌμ΄μ–ΈμŠ€μ™€ λŒ€μƒ λΆ€ν’ˆμ˜ νŠΉμ • λͺ¨μ–‘을 μ΄μš©ν•˜λŠ” λ°˜λ©΄μ—, λŠ₯동적인 정렬방법은 λΉ„μ „μ΄λ‚˜ 쑰립 μ‹œ λ°œμƒν•˜λŠ” 반λ ₯ 정보λ₯Ό μ΄μš©ν•˜μ—¬ λŒ€μƒλ¬Όκ°„μ˜ 정렬을 μˆ˜ν–‰ν•œλ‹€. μˆ˜λ™μ  μ •λ ¬ 방법은 νŠΉλ³„ν•œ μΈ‘μ •μ΄λ‚˜ λ…Έλ ₯ 없이 μ‚¬μš©λ  수 μžˆλ‹€λŠ” μž₯점을 가지고 μžˆμ§€λ§Œ, λΆ€ν’ˆμ˜ 챔버(Chamfer) μ‚¬μ΄μ¦ˆλ‚˜ νŽ™μ˜ 길이 등에 λ”°λΌμ„œ μ‚¬μš© κ°€λŠ₯ μ—¬λΆ€κ°€ κ²°μ •λ˜μ–΄ 적용이 μ œν•œμ μ΄λ‹€. λΉ„μ „μ˜ ν™œμš©μ„ ν†΅ν•œ 정렬도 λ˜ν•œ 적용이 μ œν•œμ μΈλ°, κ·Έ μ΄μœ λŠ” μΉ΄λ©”λΌμ˜ μ„€μΉ˜ μœ„μΉ˜ 및 μ£Όλ³€ ν™˜κ²½μ— λ”°λ₯Έ μΈ‘μ • μ •ν™•λ„μ˜ 민감성 λ•Œλ¬Έμ΄λ‹€. λ³Έ ν•™μœ„ λ…Όλ¬Έμ—μ„œλŠ” 효과적인 νŽ™μΈν™€ μž‘μ—…μ„ μˆ˜ν–‰ν•˜κΈ° μœ„ν•˜μ—¬ λ‹€μžμœ λ„μ˜ 그리퍼, 각도 μ—λŸ¬ μΈ‘μ •κΈ° 및 μΈ‘μ •λœ 힘 정보λ₯Ό κ΅°μ§‘ν™”ν•˜μ—¬ λŒ€μƒλ¬Όκ°„μ˜ μœ„μΉ˜ μ—λŸ¬λ₯Ό μΈ‘μ •ν•  수 μžˆλŠ” μ•Œκ³ λ¦¬μ¦˜μ΄ μ œμ•ˆλ˜μ—ˆλ‹€. 이λ₯Ό μœ„ν•˜μ—¬ ν•˜λ‹¨μ˜ μ£Όμš” 세가지 핡심 κΈ°λŠ₯이 μ‹œμŠ€ν…œ 섀계에 κ΅¬ν˜„λ˜μ—ˆμœΌλ©°, 사각 ν˜•μƒμ˜ νŽ™μΈν™€ μž‘μ—…μ„ 톡해 증λͺ…λ˜μ—ˆλ‹€. μœ„μΉ˜ μ—λŸ¬ 보정 μž‘μ—… μ‹œ λ―Έμ„Έ μ‘°μ • μž‘μ—…μ„ μœ„ν•˜μ—¬, 4 μžμœ λ„λ₯Ό μ§€λ‹Œ 두 개의 μ†κ°€λ½μœΌλ‘œ κ΅¬μ„±λœ 그리퍼가 μ„€κ³„λ˜μ—ˆμœΌλ©°, 손가락 끝 λ‹¨μ—λŠ” 6μΆ• 힘 μ„Όμ„œκ°€ λ‚΄μž¬λ˜μ–΄ 반λ ₯ 츑정을 κ°€λŠ₯ν•˜κ²Œ ν•˜μ˜€λ‹€. λ‘œλ΄‡μ˜ 손λͺ©μ— μ„€μΉ˜λœ 힘 μ„Όμ„œμ™€ λ‘œλ΄‡ νŒ”μ˜ μžμœ λ„λ₯Ό μ‚¬μš©ν•˜μ—¬ μž‘μ—…μ„ μˆ˜ν–‰ν•˜λŠ” 일반적인 λ°©λ²•κ³ΌλŠ” 달리, μ„€κ³„λœ λ‹€μžμœ λ„ 그리퍼λ₯Ό ν™œμš©ν•˜μ—¬ νŽ™μ„ μ‘°μž‘ κ°€λŠ₯ν•˜κ²Œ ν•˜μ˜€λ‹€. λ˜ν•œ, νŽ™μ˜ μ–‘ μΈ‘λ©΄μ—μ„œ λ°œμƒλœ 반λ ₯ 정보듀을 νŽ™μ˜ μœ„μΉ˜ 정보와 ν•¨κ»˜ μ €μž₯ν•˜μ—¬ μœ„μΉ˜μ—λŸ¬ λ„μΆœμ— ν™œμš© κ°€λŠ₯ν•˜λ„λ‘ ν•˜μ˜€λ‹€. 2 μžμœ λ„μ˜ 직ꡐ λ‘œλ΄‡κ³Ό λ ˆμ΄μ € 거리 μ„Όμ„œλ‘œ κ΅¬μ„±λœ κ²¬μ‹€ν•œ 각도 μΈ‘μ •κΈ°(Scanner)κ°€ νŽ™κ³Ό 홀 μ‚¬μ΄κ°„μ˜ 각도 μ—λŸ¬ 보정을 μœ„ν•˜μ—¬ 섀계 및 κ΅¬ν˜„λ˜μ—ˆλ‹€. νŽ™κ³Ό 홀 μ‚¬μ΄κ°„μ˜ 접촉 쑰건에 λ”°λΌμ„œ λͺ¨λ©˜νŠΈ 반λ ₯의 λ°œμƒ μœ λ¬΄κ°€ κ²°μ •λ˜λŠ”λ°, 힘 정보λ₯Ό λ°”νƒ•μœΌλ‘œ ν•œ λΉ λ₯΄κ³  μ‹ λ’°μ„± μžˆλŠ” μ—λŸ¬ 좔정을 μœ„ν•΄μ„œλŠ” 각도 μ—λŸ¬ 츑정을 ν†΅ν•œ 보정을 ν•„μš”λ‘œ ν•œλ‹€. μ‚¬κ°ν˜•μƒμ˜ νŽ™ 인 홀 μž‘μ—…μ˜ κ²½μš°μ—λŠ”, νŽ™κ³Ό 홀 μ‚¬μ΄κ°„μ˜ 엣지 및 지지 면의 μˆ˜μ— λ”°λΌμ„œ 총 5κ°€μ§€μ˜ 경우둜 접촉 쑰건이 λΆ„λ₯˜κ°€ λ˜λŠ”λ°, λͺ¨λ©˜νŠΈλŠ” κ·Έ μ€‘μ—μ„œ ν•œκ°€μ§€μ˜ κ²½μš°μ—λ§Œ λ°œμƒν•˜κ²Œ λœλ‹€. 각도 μ—λŸ¬ 보정을 ν†΅ν•˜μ—¬, 접촉 쑰건은 2κ°€μ§€λ‘œ μ€„μ–΄λ“€κ²Œ 되며, 이λ₯Ό ν†΅ν•˜μ—¬ μ—λŸ¬ 보정 μ‹œκ°„μ„ μ€„μ΄λŠ” 것이 κ°€λŠ₯ν•˜λ‹€. νŽ™κ³Ό 홀 μ‚¬μ΄κ°„μ˜ μœ„μΉ˜ μ—λŸ¬λ₯Ό μΆ”μΆœν•˜κΈ° μœ„ν•˜μ—¬, λͺ¨λ©˜νŠΈ 반λ ₯ 정보와 νŽ™μ˜ μœ„μΉ˜ μ •λ³΄λ‘œ κ΅¬μ„±λœ 데이터 μ„ΈνŠΈμ— ꡰ집화 μ•Œκ³ λ¦¬μ¦˜μ„ μ μš©ν•˜μ˜€λ‹€. 각도 μ—λŸ¬ 보정 후에도, λͺ¨λ©˜νŠΈκ°€ λ°œμƒν•˜μ§€ μ•ŠλŠ” κ²½μš°κ°€ λ‚¨κ²Œ 되며 μ΄λŸ¬ν•œ ν˜Όν•©λœ 데이터 μ„ΈνŠΈμ—μ„œλ„ μœ„μΉ˜ μ—λŸ¬λ₯Ό μΆ”μΆœν•  수 μžˆλŠ” 인곡지λŠ₯을 ν•„μš”λ‘œ ν•œλ‹€. 이λ₯Ό μœ„ν•˜μ—¬, 기계 ν•™μŠ΅μ—μ„œ μ‚¬μš©λ˜λŠ” 두 κ°€μ§€μ˜ λŒ€ν‘œμ μΈ μ•Œκ³ λ¦¬μ¦˜, K 평균 μ•Œκ³ λ¦¬μ¦˜κ³Ό κ°€μš°μ‹œμ•ˆ ν˜Όν•© λͺ¨λΈ μ•Œκ³ λ¦¬μ¦˜μ„ λ‹€μ–‘ν•œ μΈ‘μ • 데이터 μ„ΈνŠΈλ“€μ— μ μš©ν•˜μ˜€λ‹€. μ—λŸ¬ μΆ”μΆœ μ‹œ μ•Œκ³ λ¦¬μ¦˜μ˜ 정확도와 견싀함을 확인 ν•˜κΈ° μœ„ν•˜μ—¬ 같은 μ‘°κ±΄μ—μ„œ μΈ‘μ •λ˜κ±°λ‚˜ λ‹€λ₯Έ μ†λ„μ—μ„œ μΈ‘μ •λœ μ„Έ 개의 데이터 μ„ΈνŠΈκ°€ μœ„μΉ˜ μ—λŸ¬ μΆ”μΆœμ„ μœ„ν•˜μ—¬ μ‚¬μš©λ˜μ—ˆλ‹€. K 평균 μ•Œκ³ λ¦¬μ¦˜μ˜ 경우, μΆ”μΆœλœ μœ„μΉ˜ μ—λŸ¬μ˜ 정확도와 각각의 데이터 μ„ΈνŠΈμ—μ„œ μΆ”μΆœλœ μœ„μΉ˜ μ—λŸ¬ κ°’λ“€μ˜ νŽΈμ°¨λŠ” 각각 0.29mm, 0.14mm μ΄λ‚΄μ΄μ§€λ§Œ, κ°€μš°μ‹œμ•ˆ ν˜Όν•© λͺ¨λΈ μ•Œκ³ λ¦¬μ¦˜μ˜ κ²½μš°μ—λŠ” 각각 0.44mm, 0.43mmλ₯Ό 보이고 μžˆλ‹€. K 평균 μ•Œκ³ λ¦¬μ¦˜μ€ μœ„μΉ˜ μ—λŸ¬ μΆ”μΆœμ—μ„œ μ•ˆμ •μ μΈ 정확도와 견싀함을 가지며, κ°€μš°μ‹œμ•ˆ ν˜Όν•© λͺ¨λΈ μ•Œκ³ λ¦¬μ¦˜μ€ μœ„ν•˜μ—¬ μ œν•œμ‘°κ±΄μ„ μ§€λ‹Œ νŒŒλΌλ―Έν„° μ‚¬μš©μ„ ν•„μš”λ‘œ ν•˜λŠ” 것을 확인할 수 μžˆλ‹€. μ„Όμ„œλ‘œλΆ€ν„°μ˜ 정보에 μ˜μ§€ν•˜μ§€ μ•Šκ³ , κΈ΄ λ‚˜μ„ ν˜• κΆ€μ λ§Œμ„ μ΄μš©ν•˜μ—¬ μ—λŸ¬ 보정을 μˆ˜ν–‰ν•˜λŠ” λΈ”λΌμΈλ“œ μ„œμΉ˜(Blind Search)와 비ꡐ할 λ•Œ, μ œμ•ˆλœ 츑정기와 μœ„μΉ˜ μΆ”μΆœ μ•Œκ³ λ¦¬μ¦˜μ€ 짧고 νŽΈμ°¨κ°€ μ—†λŠ” μ—λŸ¬ 보정 μ‹œκ°„μ˜ μž₯점을 가지고 μžˆλ‹€. 주어진 검색 μ˜μ—­μ„ 수직 μˆ˜ν‰μœΌλ‘œ μ›€μ§μ΄λŠ” 짧은 XY ꢀ적을 μ‚¬μš©ν•˜μ—¬ μ—λŸ¬ 보정 μ‹œκ°„μ„ 단좕 κ°€λŠ₯ν•˜κ²Œ ν•˜κ³ , 각도 μ—λŸ¬ 보정을 ν†΅ν•˜μ—¬ 접촉 쑰건 경우의 수λ₯Ό μ€„μ΄λ©΄μ„œ μ—λŸ¬ 보정을 μœ„ν•œ μ‹œκ°„μ— νŽΈμ°¨κ°€ 없도둝 ν•˜μ˜€λ‹€.Peg-In-Hole is the one of basic tasks for robotic assembly. For successful Peg-In-Hole, the position and orientation alignment between mating parts is very important because small error can induce jamming and wedging which generates excessive force leading to damages on mating parts during insertion. A lot of researches for Peg-In-Hole task have been underway and it can be categorized into passive and active approaches. The passive approach represented by Remote Center Compliance uses the compliance and shape of mating parts for alignment, whereas the active approach uses measurement from vision, force or both of them. Passive approach has strength in which alignment can be done passively without any other measurements but applications are limited because it depends on the shape of mating parts like chamfer size and length of peg. Utilization of vision is also limited because of sensitivity in accuracy which is affected significantly by camera location and surrounding environment. In this dissertation, a dexterous gripper with an angular error measuring instrument and reliable position error estimation algorithm by clustering the force dataset is proposed for Peg-In-Hole task. Three main key features stated below are implemented in the system design and tested with square Peg-In-Hole experiments. The dexterous gripper which consists of 4 DOF(Degree Of Freedom) two fingers embedded with 6 axis force sensors at the fingertip is designed for micro manipulation during error recovery. Unlike the usual method in which force sensor is mounted on the robot wrist and peg is manipulated by robot arm, the designed dexterous gripper is used for both of grasping and manipulating peg. Reaction force generated on both side of peg is also measured at fingertip and recorded with peg position for error estimation. Robust angle measuring instrument, Scanner, consisted of 2DOF manipulator and laser distance sensor is also designed and implemented for detecting the angular error between peg and hole. Depending on the contact condition, its decided whether moment is generated or not, thus angular error compensation is necessary for fast and reliable error estimation based on the force data. In case of square Peg-In-Hole, the contact condition can be classified into 5 cases depending on the number of edge and supporting area between peg and hole and moment is generated in only one case. With the angular error compensation, the number of contact condition can be diminished to 2 cases thus shortened recovery time can be accomplished. To extract the position error between peg and hole, error estimation with clustering algorithm is applied to the measured dataset of moment and peg position. Even after angular error compensation, there still exists the condition which generates no reaction moment, thus artificial intelligence which can extract the position error among mixed dataset is required. Two representative algorithms, K means algorithms and Gaussian Mixture Model algorithm, commonly used in machine learning for clustering dataset are applied to various datasets constructed with position and moment for estimating position error. Two datasets, one constructed with the three datasets measured at same condition and the other constructed with three datasets measured with different velocity are used to check accuracy and robustness in error estimation from both of algorithm. The accuracy of estimated position error and deviation among estimated error in each dataset from K means algorithm is within 0.29mm and 0.14mm whereas both of that from Gaussian Mixture Model algorithm is within 0.44mm and 0.43mm. K means algorithm shows stable accuracy and robustness on position error estimation whereas the Gaussian Mixture Model algorithm needs to use constrained parameter for both of them. Comparing with blind search which uses no information from sensors and long spiral trajectory for error recovery, the proposed measurement system and algorithms have advantages in terms of recovery time and no variation of it. Short XY trajectory which moves horizontally and vertically in given search area can be used and error recovery time have no variation regardless of position error by diminishing the number of contact conditions through angular error compensation.Chapter 1. Introduction 1 1.1. Robotic Assembly and Peg-In-Hole Task 1 1.2. Previous Research Works 2 1.2.1. Passive approaches 3 1.2.2. Active approaches 5 1.3. Purpose and Contribution of Research 9 Chapter 2. Contact Condition Analysis 12 2.1. Classification of Contact Condition 12 2.1.1. Connected Component Labeling 12 2.1.2. Binary image generation procedure 13 2.1.3. Analysis results for contact condition 14 2.2. Force and Moment depending on Contact Condition 17 Chapter 3. Design Synthesis of Gripper and Scanner 21 3.1. Overall Design Overview 21 3.2. Design and Mechanism of Finger 23 3.2.1. Advantages of parallel mechanism 23 3.2.2. Mechanism description of finger 28 3.2.3. Kinematics of finger 31 3.3 Design and Mechanism of Scanner 33 3.3.1. Mechanism description 33 3.3.2. FEM analysis for deflection compensation 34 Chapter 4. Error Recovery Algorithms 40 4.1. Clustering for Error Estimation 40 4.1.1. K means algorithm 41 4.1.2. Gaussian Mixture Model algorithm 42 4.2. Procedure for Error Recovery 44 4.3. Comparison of Error Recovery Algorithms 45 4.3.1. Comparison of trajectory in blind and XY search 45 4.3.2. Comparison of trajectory for position error recovery 46 4.3.3. Comparison of trajectory for angular error recovery 49 4.3.4. Comparison of variation in recovery time 50 Chapter 5. Experimental Results 52 5.1. Angular Error Measurement of Scanner 52 5.1.1. Verification of scanner accuracy and repeatability 52 5.1.2. Measurement and alignment of angular error 56 5.2. Reaction Moment Measurement at Fingertip 58 5.2.1. Measurement of moment data 58 5.2.2. Description of measurement condition 59 5.2.3. Clustering results from K means algorithm 61 5.2.4. Clustering results from Gaussian Mixture Model Algorithm 64 5.2.5 Comparison of clustering result 69 Chapter 6. Conclusion 71 Bibliography 74 Abstract in Korean 78Docto

    On disengaging a peg from a hole

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    In the field of manufacturing and remanufacturing, robots are employed in assembly tasks. Robotics researchers often use a cylindrical peg and a cylindrical hole as a model to understand high-precision insertion operations. During those operations, two main obstacles were identified, namely, jamming and wedging. Jamming occurs when the force is applied in the wrong direction and can be rectified easily by changing the direction. Wedging occurs when the peg appears to be stuck in the hole. The wedging of a peg is more complex than jamming, and it involves the deformation of the components. Many studies have been performed in the area of peg-hole assembly. Although researchers have mentioned the necessary conditions for wedging, the peg-hole jamming problem was the main focus. This thesis aims to better understand the peg-hole wedging problem to find methods to dislodge a wedged peg and to design a remote-centre-compliance (RCC) device to avoid the wedging and jamming of a peg that can be used in both assembly and disassembly. Using the definition and necessary conditions of peg-hole wedging, the systematic process of wedging a peg is analysed and illustrated. There are four steps to wedge a peg in a hole. First, the peg and hole must be in 2-point contact, and the two contact points must be within each other’s friction cone. A force or moment is then applied to deform the peg and hole, and the peg tilting angle increases. The force or moment is then released in the third step, and the peg tilting angle will be reduced by a small amount. Finally, when the peg tilting angle reduces, the reaction forces at the contact points will be collinear, and the peg is wedged. In the simulation and experiment in this research, the hole is divided into two sides, and a force-torque (FT) sensor is installed beneath each hole. The readings obtained from the sensors have shown that the hypothesis of the wedging process is correct, and when the peg is successfully wedged, the resultant force experienced by the FT sensors is balanced. The dislodging of a peg is also investigated in this thesis. To dislodge a wedged peg, intuitively, the peg is either shaken, twisted or knocked. Depending on the application, some would use a low force to dislodge the wedged peg to avoid damaging the components, while others would prefer a quicker disassembly process. In this investigation, the wedged peg is dislodged using different methods, such as applying a constant force and pulsating forces with different frequencies and magnitudes. The time needed to dislodge the peg is recorded to compare the effects of different combinations of parameters used. The result from the simulation shows that the peg can be dislodged at low impulses within a specific range of pulling force magnitudes. Adopting a pulsating force helps reduce the impulse required to dislodge the peg compared to using continuous force in the low magnitude region. However, in the lowest magnitude region, using a continuous force resulted in a lower impulse as the time for dislodging the peg was shorter compared to when a pulsating force was employed. Many techniques have been proposed and investigated to aid the peg-hole assembly process, and one of them is by using an RCC. At the University of Canterbury (New Zealand), researchers designed a passive compliant device, which was an inverted Gough-Whitehall-Stewart mechanism, to assist the peg-hole insertion process. This thesis analyses a modified version of that compliant device, where the legs do not meet in pairs at the platform but at points located remotely from it. This allows the device to have the features of an RCC mechanism, which has been proven by other researchers to be effective for precise peg-hole assembly tasks. This device is also suitable for both assembly and disassembly processes. Unlike the currently available RCC design, which can only withstand high compressive forces, the proposed compliant device can resist both compressive and tensile forces. The compliance matrix of the new design and the location at which it is diagonal are derived using small approximations, proving that the centre of compliance is situated away from the platform. The correctness of the small motion assumptions and the RCC properties of the new compliance device have been confirmed by performing the sensitivity analysis

    High-Dimensional Design Evaluations For Self-Aligning Geometries

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    Physical connectors with self-aligning geometry aid in the docking process for many robotic and automatic control systems such as robotic self-reconfiguration and air-to-air refueling. This self-aligning geometry provides a wider range of acceptable error tolerance in relative pose between the two rigid objects, increasing successful docking chances. In a broader context, mechanical alignment properties are also useful for other cases such as foot placement and stability, grasping or manipulation. Previously, computational limitations and costly algorithms prevented high-dimensional analysis. The algorithms presented in this dissertation will show a reduced computational time and improved resolution for this kind of problem. This dissertation reviews multiple methods for evaluating modular robot connector geometries as a case study in determining alignment properties. Several metrics are introduced in terms of the robustness of the alignment to errors across the full dimensional range of possible offsets. Algorithms for quantifying error robustness will be introduced and compared in terms of accuracy, reliability, and computational cost. Connector robustness is then compared across multiple design parameters to find trends in alignment behavior. Methods developed and compared include direct simulation and contact space analysis algorithms (geometric by a \u27pre-partitioning\u27 method, and discrete by flooding). Experimental verification for certain subsets is also performed to confirm the results. By evaluating connectors using these algorithms we obtain concrete metric values. We then quantitatively compare their alignment capabilities in either SE(2) or SE(3) under a pseudo-static assumption

    Carolina Crossroads phase 1 - Colonial Life Blvd. Richland and Lexington Counties, South Carolina a design-build project

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    SCDOT proposes to construct a new exit ramp to US 378 from I-26 eastbound and associated interstate widening in Lexington County and a full access interchange at Colonial Life Boulevard at I-126 in Richland County. This will include construction of new bridges and related roadway approaches. The purpose of the project is to provide traffic access to and from I-26 and I-126 to Colonial Life Blvd., allowing for closure of the existing on and off ramps that access I-26 from Bush River Road. The purpose of this Request for Proposals (RFP) is to select a Proposer to perform the Project services described in this RFP

    Elements of nuclear safety – Research reactors

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    This publication gives a global overview of the diversity and complementarity of research reactors, some of which have been or are still being used to conduct experiments that are essential for the development and operation of nuclear power reactors, including in relation to safety issues. This work highlights the many uses of these reactors, which have very different designs, use highly varied quantities of radioactive substances with varying levels of risk for safety and radiation protection, and which β€” in many cases because they are old or have been shut down β€” require appropriate measures to control the ageing or obsolescence of some of their equipment, as well as, on an organisational and human level, to ensure that they continue to be operated safely. For some research reactors, safety and radiation protection aspects must be considered, taking into account that two types of operators are present at the same time within these reactors: reactor operating personnel and operators in charge of experimental devices using neutrons from the reactor for fundamental or applied research purposes. There are two specific chapters on the safety standards established under the aegis of the IAEA for research reactors and on serious accidents, notably those involving criticality and reactivity, in research reactors. The second part of the work focuses on French research reactors, including the regulations and official documents applicable to these reactors, on lessons learned in France from significant events and accidents β€” as well as abroad, such as the Fukushima Daiichi nuclear power plant accident in 2011 β€” on the consideration of reactivity accidents in the design of French research reactors, and on the ten-yearly safety reviews carried out in France

    Request for proposals final with addendum 6 : Carolina Crossroads phase 2 - Broad River Rd. at I-20 Interchange design-build project Project ID P039719 Richland County December 3, 2020

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    The purpose of this Request for Proposals (RFP) is to select a Proposer to perform the Project services and to design and construct the Project, as further described in this RFP

    Computational Methods for Failure Analysis and Life Prediction

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    This conference publication contains the presentations and discussions from the joint UVA/NASA Workshop on Computational Methods for Failure Analysis and Life Prediction held at NASA Langley Research Center 14-15 Oct. 1992. The presentations focused on damage failure and life predictions of polymer-matrix composite structures. They covered some of the research activities at NASA Langley, NASA Lewis, Southwest Research Institute, industry, and universities. Both airframes and propulsion systems were considered
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