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The chemical and mechanical properties of the 316LVM stainless steel are: C 0.03%, Cr 17-19%, Ni 13-15%, Mo 2-3%, Mn 2%, Cu 0.1%, Si 1%, P 0.025%, S 0.01%, N 0.1%, yield Rp0.2 of 690 MPa, tensile Rm of 860 MPa, and elongation of 12%.
Taguchi method involves selection of control factors, response factor and an orthogonal array.
Since the considered factors are multi-level factors, it has been decided to use three level tests for each factor.
Feed is the most significant factor affecting the surface roughness with contribution of 28.60%, followed by the insert radius with contribution of 16.17%, depth of cut with contribution of 12.62% and cutting speed with contribution of 2.10%.
Interaction insert radius x cutting speed affects the surface roughness with contribution of 17.61%, interaction insert radius x depth of cut affects the surface roughness with contribution of 6.77%, and interaction insert radius x feed affects the surface roughness with contribution of 2.69% The predicted S/N ratio using the optimal levels of the control factors () can be calculated as: , . (2) where is: - mean S/N ratio for i-th factor at the optimal level, - total mean S/N ratio, p - number of factors that significantly affect the quality characteristic, - total number of trials, and - S/N ratio in i-th trial in the orthogonal array.

Effect of Secondary Carbide Addition on Properties of Ti(C0.7N0.3)-Ni Cermets S.
The effect of WC or NbC addition on various properties of Ti(C0.7N0.3)-Ni cermets was investigated.
Specifically, attention must be focused on the influence of various factors on the rim structure in terms of microstructure and composition.
(a) 5WC (b) 15WC (c) 25WC (d) 5NbC (e) 15NbC (f) 25NbC Mechanical properties: Fig. 2 (a) and (b) shows hardness (HV) and fracture toughness (KIC) values, obtained from Vickers indentation measurement.
This is due to the difference in the mechanical properties of (Ti,Nb)(CN) and (Ti,W)(CN), which are present as major phases in the two systems.

Other factors affecting scale build up include the type of release agent used (eg boron nitride), how the release agent is applied and the surface condition of both part and die at the start of the process.
Mechanical Test Machine.
Once appropriately worn samples have been created it is then necessary to perform the appropriate analysis to determine how the process conditions affect the part surface.
The objects are defined in a similar way to the previous methods in which the colour properties of the images are used to define the physical boundaries of an object.
The study of factors affecting the economic processing of SPF material, such as die surface degradation, can only be conducted in a controlled environment on a laboratory scale; however simulation of the process conditions is difficult without dedicated equipment.

Electrode properties of ISEM-8.
Factors including the level used in Taguchi.
The analysis evaluates the impact of three key factors: current, on-time, and duty factor, on MRR.
In this case, the relatively high Ra value suggests that the surface is uneven, with imperfections such as peaks, valleys, and debris deposition, which can adversely affect both the mechanical properties and performance of the component.
Conclusions The study identified current as a significant factor affecting both the material removal rate (MRR) and electrode wear ratio (EWR).

There are many factors affecting the dent resistance, which also lead to the interest of researchers [4-7].
Its material properties are shown in Table 1.
Table 1 Material properties of 6k21-T4 aluminum alloy sheet.
Thilderkvist, Influence of material properties and stamping conditions on the stiffness and static dent resistance of automotive panels, Mater.
Matlock, Material and design factors influencing the quasi-static dent resistance of steel body panels, Soc.

Later, ANNs were adopted to predict the mechanical properties of porous Ti-Ni SMA [6].
Titanium-Nickel (Ti-Ni) is the most important practical SMA with excellent mechanical properties.
The properties of SMA wires depend on many factors such as wire manufacturing, thermal history, pre-strain, strain rate, and whether or not being cycled [9].
The factors that affect the restrained recovery stress of SMAs were investigated to determine the number of neurons in the input layer.
Neural network prediction of mechanical properties of porous NiTi shape memory alloy.

The fabric noise has been analyzed by cross-sectional shapes of fibers, fiber type and weaves to calculate objective factors affecting them [4-6].
Chunjeong Kim et al. [12] more in-depth analyzed the acoustic properties of vapor permeable water repellent fabric sounds generated by low-speed frictions (0.2 m/s and 0.5m/s) and investigated the relationships between the sound properties and the mechanical properties of the fabrics.
Recently, Cho et al. [13] [14] proposed a new model capable of predicting frictional sounds of woven fabrics, knitted fabrics and vapor permeable water repellent fabrics by measuring the relationships between their sound parameters and mechanical properties.
References [1] Bishop, D.P., Fabrics: Sensory and Mechancial Properties, Texitle Prog. 1996,26,1-57
Integrated graphical presentation of fabric sound and mechanical properties.

Al 6061 gives good formability and excellent mechanical properties.
It is observed that various studies have been carried out other mechanical properties except than the hardness and impact energy.
This is due to its simplicity and low cost relative to direct measurement of many properties
R., Effect of thermal treatment on the mechanical and toughness properties of extruded SiCw/ Aluminium 6061 metal matrix composite.
Mechanical properties of particulate-reinforced aluminum matrix composites.

However, the safety factor obtained by this method usually have non-deterministic human factors.
Obviously, this is also determined by an amount of non-identified human factors.
They belong to the soft rock group, and the water physical properties are very poor.
After encountering the water, the mechanical properties are relatively low.
Once the invading surface and the external factors induced the slope instability are formed, it occurs landslide

In the present paper the distortion in fillet welds and the affect of the distortion control techniques on the welded joint are studied.
Being a fusion welding process, the heat input during welding affects the base material both physically and metallurgically.
Thus the mechanical and physical properties of the metal as well as the type of joint would affect the degree of distortion.
Along with the factors stated there are certain welding parameters which also affect the distortion.
From the graph the comparison & affect of different distortion control techniques for the increasing power input can be made.