scholarly journals Hybrid Joint-Separable Multibody Tracking

2005 ◽  
Author(s):  
O. Lanz ◽  
R. Manduchi
Keyword(s):  
Hybrid Joint

Experimental and FEA Evaluation of Hybrid Joint Strength of Single Lap joint

2011 ◽  
Vol 1 (9) ◽  
pp. 93-96
Author(s):  
S. S. Kadam S. S. Kadam ◽  
◽  
P. A. Dixit P. A. Dixit
Keyword(s):  
Joint Strength ◽  
Lap Joint ◽  
Single Lap Joint ◽  
Hybrid Joint

scholarly journals Investigation of joints from laser powder fusion processed and conventional material grades of 18MAR300 nickel maraging steel

2021 ◽  
Author(s):  
W. Tillmann ◽  
L. Wojarski ◽  
T. Henning
Keyword(s):  
Tensile Strength ◽  
Maraging Steel ◽  
Solid Material ◽  
High Volume ◽  
Heat Treatment Condition ◽  
Hybrid Joint ◽  
Hybrid Joints ◽  
Laser Systems ◽  
Conventional Material ◽  
The Individual

AbstractEven though the buildup rate of laser powder bed fusion processes (LPBF) has steadily increased in recent years by using more and more powerful laser systems, the production of large-volume parts is still extremely cost-intensive. Joining of an additively manufactured complex part to a high-volume part made of conventional material is a promising technology to enhance economics. Today, constructors have to select the most economical joining process with respect to the individual field of application. The aim of this research was to investigate the hybrid joint properties of LBPF and conventionally casted 18MAR300 nickel maraging steel depending on the manufacturing process and the heat treatment condition. Therefore, the microstructure and the strength of the hybrid joints manufactured by LPBF or vacuum brazing were examined and compared to solid material and joints of similar material. It was found that the vacuum-brazed hybrid joints using a 50.8-μm-thick AuNi18 foil provide a high tensile strength of 904 MPa which is sufficient for a broad field of application. Furthermore, the additively manufactured hybrid samples offered with 1998 MPa a tensile strength more than twice as high but showed a considerable impact of buildup failures to the strength in general.

Scale Distorted Target Recognition Based on Machine Vision

2014 ◽  
Vol 1006-1007 ◽  
pp. 760-763 ◽  
Author(s):  
Yu Chen ◽  
Fu Rong Huo ◽  
Li Qin Zheng
Keyword(s):  
Machine Vision ◽  
Background Noise ◽  
Target Recognition ◽  
Angular Distortion ◽  
Average Correlation ◽  
Optical Correlation ◽  
Hybrid Joint ◽  
Mach Filter ◽  
Human Eyes ◽  
Principle Of Maximum

<div> <p class="9"><span>Machine vision means to carry out measurement or judgment with machine instead of human eyes. In the field of target recognition, optical correlation technology is a main way to realize machine vision. Targets can be recognized and located with high precision</span><span> </span><span>taking advantage of optoelectronic hybrid joint </span><span>transform</span><span> correlator (OHJTC). However, when scale or angular distortion of the detected target exists relative to the reference template, the intensity of correlation peaks will decrease to a great extent, which restricted the recognition results greatly. In this paper, the development and principle of maximum average correlation height (MACH)</span><span> </span><span>algorithm is introduced. Through amounts of experiments, t</span><span>he control</span><span>ling</span><span> parameters</span><span> </span><span>of the synthesized filter</span><span> are optimized</span><span>, which makes MACH filter suppress background noise and widen recognition range of targets</span><span>. To show the feasibility of this algorithm, simulative and optical experiments of the improved MACH filter are carried out. As an example, the recognition results of a fighter target in sky</span><span> </span><span>are given, which shows </span><span>the </span><span>scale</span><span> </span><span>distortion tolerance can reach up </span><span>to </span><span>±</span><span>23%</span><span>. The actual effect of the improved MACH filter algorithm has been confirmed very well</span><span>.</span><span> <o:p></o:p></span></p> </div>

Properties of a Metal-Nonmetal Hybrid Joint With an Improved Shape of the Metal Insert

2012 ◽  
Vol 39 (1) ◽  
pp. 69-76 ◽  
Author(s):  
M. Miklavec ◽  
J. Klemenc ◽  
A. Kostanjevec ◽  
M. Fajdiga
Keyword(s):  
Metal Insert ◽  
Hybrid Joint

scholarly journals Spring Effects on Workspace and Stiffness of a Symmetrical Cable-Driven Hybrid Joint

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 101 ◽  
Author(s):  
Shan Zhang ◽  
Zheng Sun ◽  
Jili Lu ◽  
Lei Li ◽  
Chunlei Yu ◽  
...  
Keyword(s):  
Variable Stiffness ◽  
Robotic Manipulator ◽  
Spring Model ◽  
Cable Tension ◽  
Stiffness Analysis ◽  
Hybrid Joint ◽  
Compression Spring ◽  
Spring Force ◽  
Basic Parameters ◽  
Stiffness Characteristics

This paper aims to investigate how to determine the basic parameters of the helical compression spring which supports a symmetrical cable-driven hybrid joint (CDHJ) towards the elbow joint of wheelchair-mounted robotic manipulator. The joint design of wheelchair-mounted robotic manipulator needs to consider lightweight but robust, workspace requirements, and variable stiffness elements, so we propose a CDHJ which becomes a variable stiffness joint due the spring under bending and compression provides nonlinear stiffness characteristics. Intuitively, different springs will make the workspace and stiffness of CDHJ different, so we focus on studying the spring effects on workspace and stiffness of CDHJ for its preliminary design. The key to workspace and stiffness analysis of CDHJ is the cable tension, the key to calculate the cable tension is the lateral bending and compression spring model. The spring model is based on Castigliano’s theorem to obtain the relationship between spring force and displacement. The simulation results verify the correctness of the proposed spring model, and show that the spring, with properly chosen parameters, can increase the workspace of CDHJ whose stiffness also can be adjusted to meet the specified design requirements. Then, the modelling method can be extended to other cable-driven mechanism with a flexible compression spring.

Prediction model and parametric study on CFRP flat-joggle-flat hybrid (bonded/bolted) joints

2020 ◽  
Vol 54 (26) ◽  
pp. 4025-4034
Author(s):  
Chang Xu ◽  
Wenjing Wang ◽  
Zhiming Liu ◽  
Chen Fu
Keyword(s):  
Prediction Model ◽  
Carrying Capacity ◽  
Failure Modes ◽  
Diameter Ratio ◽  
Load Carrying Capacity ◽  
Bolted Joint ◽  
Hybrid Joint ◽  
Load Carrying ◽  
Bonded Joint ◽  
Adhesively Bonded Joint

As the weakness zone of composite structures, joints are of great concern. Adding fasteners in the bonded joint is another type of jointing, technology used in engineering. In this research, considering a new type of flat-joggle-flat carbon fibre reinforced plastic (CFRP) joint, a prediction model based on the commercial software ABAQUS was proposed to predict the joint load carrying capacity and analyse the joint failure modes. Tensile tests were performed to verify the validity of the model. Furthermore, the orthogonal design was applied to explore the effects of four kinds of factors on the hybrid joints. The results showed that the load-carrying capacity of the hybrid joint improved by 40.5% and 31.9% on average, compared with that of the adhesively bonded joint and the bolted joint, respectively. The carrying capacity for the bonded joint, bolted joint and hybrid joint predicted by the model has error values of 3.5%, 2.7% and 3.1%, respectively, which illustrates good accuracy with the test results. The width-to-diameter ratio appears to have the most substantial effect on the first drop load and the maximum load of the hybrid joint. The failure modes are influenced by the width-to-diameter ratio, edge-to-diameter ratio and stacking sequence.

scholarly journals V(D)J Recombination in Ku86-Deficient Mice: Distinct Effects on Coding, Signal, and Hybrid Joint Formation

Immunity ◽  
1997 ◽  
Vol 7 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Molly A Bogue ◽  
Chiyu Wang ◽  
Chengming Zhu ◽  
David B Roth
Keyword(s):  
Joint Formation ◽  
Hybrid Joint ◽  
Deficient Mice
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