scholarly journals Effect of the Degenerative State of the Intervertebral Disk on the Impact Characteristics of Human Spine Segments

2013 ◽  
Vol 1 ◽  
Author(s):  
Sara E. Wilson ◽  
Ron N. Alkalay ◽  
Elizabeth Myers
Keyword(s):  
Intervertebral Disk ◽  
Human Spine ◽  
Impact Characteristics ◽  
The Impact

scholarly journals Effect of reinforcement material on impact properties of epoxy

2017 ◽  
Vol 2 (3) ◽  
pp. 226-231
Author(s):  
Basim M. Fadhil ◽  
Payman Sahbah Ahmed ◽  
Ava Ali Kamal
Keyword(s):  
Carbon Fiber ◽  
Impact Test ◽  
Steel Fiber ◽  
Matrix Composites ◽  
Impact Machine ◽  
Impact Properties ◽  
Different Types ◽  
Experimental Works ◽  
Impact Characteristics ◽  
The Impact

Impact characteristics of Epoxy matrix composites is investigated by impact machine. Four different types of reinforcement are used in the experimental works: type one: 1.9wt% steel fiber, 1.9wt% carbon fiber,1.9 wt% carbon nanotube, 1.9 wt% woven carbon fiber.This work shows that reinforcing epoxy with (1.9 wt% of woven carbon fiber) improves the impact properties where energy, force and deformation values of impact test for this composite were 18.4J, 3580.59 N and 18 mm respectively while for epoxy were 2.927 J, 921.849 N and 18.413 mm respectively.

Research on gearbox impact feature extraction method based on improved ESMD

2022 ◽  
Vol 64 (1) ◽  
pp. 20-27
Author(s):  
Fengfeng Bie ◽  
Sheng Gu ◽  
Yue Guo ◽  
Gang Yang ◽  
Jian Peng
Keyword(s):  
Feature Vector ◽  
Vibration Signal ◽  
Permutation Entropy ◽  
Significant Feature ◽  
Support Vector ◽  
Feature Extraction Method ◽  
Mode Decomposition ◽  
Envelope Spectrum ◽  
Impact Characteristics ◽  
The Impact

A gearbox vibration signal contains non-linear impact characteristics and the significant feature information tends to be overwhelmed by other interference components, which make it difficult to extract the typical fault features fully and effectively. Aiming at the key issue of how to effectively extract the impact characteristics, a fault diagnosis method based on improved extreme symmetric mode decomposition (ESMD) and a support vector machine (SVM) is proposed in this paper. The vibration signal is adaptively decomposed into multiple intrinsic mode function (IMF) components by the improved ESMD and then a certain number of components are selected with the maximum kurtosis-envelope spectrum index. The singular spectral entropy, energy entropy and permutation entropy of each component are applied to construct the feature vector set, in which the dimensionality of the set is reduced with the distance separability criterion. Finally, the dimension-reduced feature vector set is input into the SVM for pattern recognition. Dynamic simulation and experimental gearbox research show that the improved ESMD method can extract and identify gearbox fault information effectively.

Effect of filler on the impact characteristics of aluminium tubes

2014 ◽  
Vol 18 (sup6) ◽  
pp. S6-499-S6-504
Author(s):  
F. Mat ◽  
K. A. Ismail ◽  
S. Yaacob ◽  
M. Ahmad
Keyword(s):  
Impact Characteristics ◽  
The Impact

Pattern Recognition of Impact in Passenger Car Bumper Using Smart Materials

2011 ◽  
Vol 462-463 ◽  
pp. 888-893
Author(s):  
Gao Ping Wang ◽  
Pan Zhou ◽  
Han Xin Chen ◽  
Jun Chen
Keyword(s):  
Neural Networks ◽  
Pattern Recognition ◽  
Smart Materials ◽  
Road Accidents ◽  
Passenger Cars ◽  
Passenger Car ◽  
Pendulum System ◽  
Fundamental Research ◽  
Impact Characteristics ◽  
The Impact

All over the world at present, injuries and fatalities from road accidents are a significant problem, especially occurred to pedestrians from passenger cars. Most of the fatal accidents between car and pedestrians prove deadly because of the head to hood impact. This paper aims to develop a bumper to avoid from passenger car’s fatal head impact for pedestrian protection, and most importantly, the impact of different objects with passenger car bumper needs to be recognized. Firstly, a pendulum system is constructed to perform the fundamental research which is concentrated on the response pattern of impact-object simulation tests, and we confirmed the application possibility for the method of discriminable pattern recognition whether impact-object is human-like or not by means of neural networks using smart PZT materials. Finally, the impact characteristics analyses can provide enough pattern recognition indices which can be developed and then used to recognize the impact information by two different neural networks.

B37 The impact characteristics of golf-ball and club : The effect of coefficient of friction

2011 ◽  
Vol 2011 (0) ◽  
pp. 435-440
Author(s):  
Tetsuyuki HONGO ◽  
Yoshio IWATA ◽  
Hiroshi SAEGUSA ◽  
Toshihiko KOMATSUZAKI
Keyword(s):  
Coefficient Of Friction ◽  
Golf Ball ◽  
Impact Characteristics ◽  
The Impact

High and Low Speed Impact Characteristics of Nanocomposites

2015 ◽  
Vol 1105 ◽  
pp. 62-66 ◽  
Author(s):  
Saud Aldajah ◽  
Yousef Haik ◽  
Kamal Moustafa ◽  
Ammar Alomari
Keyword(s):  
High Speed ◽  
Impact Resistance ◽  
Absorption Capacity ◽  
Impact Testing ◽  
Energy Absorption Capacity ◽  
Low Speed ◽  
High Speed Impact ◽  
Bulletproof Vest ◽  
Impact Characteristics ◽  
The Impact

Nanocomposites attracted the attention of scientists due to their superior mechanical, thermal, chemical and electrical properties. This research studied the impact of adding carbon nanotubes (CNTs) to the woven Kevlar laminated composites on the high and low speed impact characteristics. Different percentages of CNTs were added to the woven Kevlar-Vinylester composite materials. An in-house developed drop weight testing apparatus was utilized for the low speed impact testing. Two different concentrations of the CNTs were added to a 15-layer woven Kevlar laminates, 0.32 wt% and 0.8 wt%. The results showed that: The 0.32 wt % CNT sample enhanced the interlaminar strength of the composite without enhancing the energy absorption capacity whereas, the 0.8 wt % CNT sample did not improve the impact resistance of the Kevlar composite.For the high speed impact tests, a bulletproof vest was prepared using woven Kevlar, resin, and CNTs at 1.5 w% percentage. The ballistic shooting was carried out by a professional shooter using a 30 caliber and 9 mm bullets for the tests. The CNT bulletproof sample bounced back the 30 caliber copper alloy bullet with no penetration.

Nano-Scale Impact Characteristics of Rough Surfaces in Humid Atmosphere With Full or Partial SAM Protection

2008 ◽  
Author(s):  
Mircea Teodorescu ◽  
Stephanos Theodossiades ◽  
Homer Rahnejat
Keyword(s):  
Rough Surfaces ◽  
Negligible Effect ◽  
Impact Dynamics ◽  
Fundamental Physics ◽  
Humid Atmosphere ◽  
Micro Scale ◽  
Nano Scale ◽  
Fundamental Understanding ◽  
Impact Characteristics ◽  
The Impact

The impact dynamics of micro-scale mechanisms deviates from the classical theories applied to traditional macro-systems, This is because of multiplicity of forces acting in nano-scale contacts, which have negligible effect at the larger scale. A fundamental understanding of these forces and their interplay is required to advise design of such mechanisms based on fundamental physics. The paper highlights the significance of some of these forces and circumstances where their influence becomes significant.

scholarly journals Ex VivoFluorescence Molecular Tomography of the Spine

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Monish Pimpalkhare ◽  
Jin Chen ◽  
Vivek Venugopal ◽  
Xavier Intes
Keyword(s):  
Ex Vivo ◽  
Imaging Study ◽  
Intervertebral Disk ◽  
Large Animal Model ◽  
Data Sets ◽  
Large Animal ◽  
Wide Field ◽  
Accurate Localization ◽  
Quantification Accuracy ◽  
The Impact

We investigated the potential of fluorescence molecular tomography to imageex vivosamples collected from a large animal model, in this case, a dog spine. Wide-field time-gated fluorescence tomography was employed to assess the impact of multiview acquisition, data type, and intrinsic optical properties on the localization and quantification accuracy in imaging a fluorescent inclusion in the intervertebral disk. As expected, the TG data sets, when combining early and late gates, provide significantly better performances than the CW data sets in terms of localization and quantification. Moreover, the use of multiview imaging protocols led to more accurate localization. Additionally, the incorporation of the heterogeneous nature of the tissue in the model to compute the Jacobians led to improved imaging performances. This preliminary imaging study provides a proof of concept of the feasibility of quantitatively imaging complexex vivosamples nondestructively and with short acquisition times. This work is the first step towards employing optical molecular imaging of the spine to detect and characterize disc degeneration based on targeted fluorescent probes.

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