Search results

This is not without consequence because lowering the yield strength may affect the strain controlled low cycle fatigue (LCF) behaviour or thermo-mechanical fatigue (TMF) behaviour by increasing the plastic deformation amount for a given applied stress or total deformation and therefore reduce the number of cycles to rupture.
Several factors are generally reported to have an influence on the Y.S. behaviour of such alloys.
Modifications of alloy composition are thus inferred to affect mainly the levels of solid solution strengthening of both γ and γ’ phases, the APB energy (APBE) of the ordered γ’ phase which controls the shearing of the γ’ precipitates by pairs of ½<110> dislocations and the γ/γ’ lattice parameter mismatch which induces coherency strain hardening.
All this parameters are known to affect the mobility of the dislocations and consequently the YS.
The intrinsic properties of the γ phase, linked to its chemistry, may also play a role in the mobility of the dislocations which propagate by combined slip and climb mechanisms.

Residual stress is also the main factor that induces stress corrosion of the components and reduces their fatigue life.
Mechanical grinding is one alternative method[5] to release residual stress.
Only a few researches on the effect of VSR on LAHSS have been reported by now[10,11], and even fewer researches on the effect of VSR on the microstructure and properties of LAHSS.
A major concern about residual relief methods is their impact on the metallographic microstructure and mechanical performance of the components.
The VSR treatment does not affected the metallographic structure of the materials.

If the structure is incorrectly designed or the structure presents material and geometric imperfections the regular folding process is affected by global bending.
Tab.1 Basic mechanical properties of the materials in discussion Characteristic I II TWB Tensile strength [MPa] 410.95 418.48 432.88 Yield stress [MPa] 177.77 230.43 245.57 Coefficient of resistance K 518.05 528.19 541.86 Strain hardening exponent n 0.213 0.161 0.157 Fig.1 Characteristic stress-strain curves for the parent materials and TWB assembly There were used three types of cross-section geometries: rectangular, pentagonal and hexagonal.
In order to obtain the mechanical characteristics of the adhesive solution the shear strength single-lap tests and T-peel strength tests were performed.
The strain rate effect was accounted by using the Cowper and Symonds model that scales the flow stress with the factor 1+ (έ/C) 1/P.
Acknowledgement The author gratefully acknowledge the financial and technical support of CCIMT Research Centre from “Vasile Alecsandri” University of Bacau – Romania References [1] Somya P., Some analytical methods of plastic collapse of circular steel tube under quasistatic axial compression, The 19th Conference of Mechanical Engineering Network of Thailand, 19-21 October 2005, Pheket, Thailand [2] Rusinek A., Zaera R., Forquin P., Klepaczko J.R., Effect of plastic deformation and boundary conditions combined with elastic wave propagation on the collapse site of a crash box, Thin-Walled Structures, 46 (2008) 1143-1163 [3] Ciubotariu V.A., Theoretical and experimental research regarding the influence of the weld line on the quality and resistance characteristics of the drawn parts made from tailor welded blanks, Ph.D. thesis, “Vasile Alecsandri” University of Bacau, Romania, (2011) [4] Abramowicz W., Wierzbicki T., Axial crushing of multi-corner sheet metal columns, Journal of Applied

Jiang School of Mechanical Materials and Mechatronic Engineering, University of Wollongong, Wollongong, Australia * Corresponding author: H.N.
Micro cross wedge rolling (MCWR) inherits most of the advantages of the conventional-scale process such as high productivity, minimized material consumption and excellent mechanical properties, but the common issues was also carried on during miniaturization [2].
Size effect has been sub-divided into three categories: density, shape, and microstructure size effect, all of which determine the individual or combined dimensional accuracy of the micro-product because the deformation behaviour of the work material, e.g. material flow and recoverable deformation, is affected by them to different extents [3].
As one critical factor that determine the accuracy of the micro product, springback was focused on and the experimental and numerical results were analysed to eliminate its influence on product quality.
The springback in the micro domain cannot be predicted using conventional mechanical theories and its behaviour in MCWR was relevant to the material microstructure and the amount of deformation discerned by the nonlinear springback mechanism associated with the theory of dislocation density.

Multi-resolution Analysis of Critical Dimension Line edge roughness Yang Yan-zhu1,a , Wei Zhu2,b, Hongbo Li, Xuetao Zhao3,c 1College of Mechanical Engineering, Donghua University, Shanghai, 201620, China 2College of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081,China 3College of Mechanical Engineering, Shandong University of Technology, Zibo, Shandong, 255049, China ayangyz@dhu.edu.cn, bwei.zhu@bit.edu.cn, cxuetaozhao@sina.com.cn Keywords: nano-scale measurement, line edge roughness, wavelet analysis Abstract.
Surface feature of the line is an important influece factor of electrical performance of IC.
The accuracy of the baseline will directly affect the accuracy of the measurement and evaluation results.
Advances in Resist Technology and Processing XX, Theodore H, Fedynyshyn, Editor, Proceedings of SPIE[C] Vol. 5039(2003): 384-392 [6] Odo Wunnicke et al, Surface properties and topography of 193nm resist after exposure and development [A].

According to the actual of mechanical product design and viewpoint of ontology six elements method, the ontology representation model supporting design knowledge is proposed
Ontology addresses the presentation of the abstract model of the objective existence, which includes two basic factors: concepts and the relationships among them.
This step is the key step with the biggest workload, which directly affect the quality of the ontologies.
Property rdf :ID=“paving capability”> Property> 3) Function knowledge class 1 1 4) Function technical principle solution calss In aforementioned descriptions
The “object property” is used to depict an attribute of a class and express the relationships between two classes.

Design of Control System Based on PLC for Polycrystalline Silicon Decomposition Furnace Han Qiang and Luo Yuan-lin College of Mechanical Engineering Donghua University, Shanghai, China hanq@dhu.edu.cn, luoyuanlin600@163.com Keywords: PolycrystallineSilicon; DecompositionFurnace; PLC;Auto-tuning PID Abstract.
When siliane decomposition reaction happen, the furnce pressure and temperature control, not only affect product quaility, more important is directly impact on safty.
Frame of control system Auto-tuning PID control Schneider Twido PLC has the function of auto-turning PID, it is assumption that the temperature transfer function of target is In the funcion, K is proportional factor,K=(change of output)/(change of input); L is dead time;T is property of time; And , R is the slope of output.
LiLi, “Research and application of the temperature fuzzy-PID control system for thermo-mechanical simulator,” 2010 Chinese Control and Decision Conference, CCDC 2010, p3434-3438, 2010

Fine sediment movement not only subjects to the control of flow condition, bioturbation, but also depends largely on the sediment itself geometric, physical and chemical properties(such as particle size, shape, pore water, mineral components, etc.), these result a big difference of motion compared to non-viscous coarse sediment.
During 1968~1983, Partheniades, Kennedy et al. studied the equilibrium concentrationand the affecting factors.
JingjingZhou, YangYang et al. [11-15]studied different factors impacting hydrodynamic settling velocity of cohesive fine sediment, the best flocculation particle size as well as the impact of the balance of sediment concentration, established empiricalformula of hydrodynamic settling velocity.
However, the sample collection and transport always change the sediment properties more or less.
In addition, the accuracy of the results is also affected by the experimental water samples and the equipment performance.

The defects formed by an ion implantation process and an activation (recovery) annealing in a device process also affect the characteristics of the devices.
The lower melting point of the silicon substrate is one of serious limiting factors for the process of the device fabricated on the 3C-SiC heteroepitaxial layer.
It was found that those defects influenced the peculiar fluctuation of properties of MOSFETs.
The surface of the epitaxial film was planarized by chemical mechanical polishing (CMP) processing.
The results shown in Fig. 2 indicated the promising property of 3C-SiC, considering that crystal defects of the order of 108 /cm2 were detected in the 3C-SiC layer used as the substrate of those devices.

In this study, the purified HA was used as raw material, the sulfonation and copolymerization reactions were used to increase the hydrophilic property and molecular weight of HA, so a new type of dispersant for CWS, sulfonated humic acid-acrylic acid resin (SHA) was obtained.
The certain-mount aqueous solutions of sodium humate, sodium sulfite and sulfuric acid were mixed in a reactor flask equipped with temperature-controlled electric heating device, mechanical stirrer, thermometer and reflux condenser.
The rheological properties were also measured employing the rheometer mentioned above.
Zeta potential, indicating coal interparticle electrostatic repulsion, and thereby, directly affects apparent viscosity.
Steric hindrace and electrostatic repulsion are the main factors influencing the stability of CWS [5].