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Online since: September 2011
Authors: Mohd Hasbullah Idris, S. Izman, A Shayganpour
A full 2-level factorial design experimental technique was used to identify the significant factors which affect the surface roughness of casting.
Kumar et al. [6] studied the optimization of tensile properties of evaporative pattern casting process using Taguchi method with L9 orthogonal array.
Gunasegaram et al. [7] used a five-factor, 2-level, 1/2 fractional factorial design with 4 center points to identify critical factors affecting shrinkage porosity in permanent mold casting.
References [1] Bokhyun KANG, Yongsun KIM and Kiyoung KIM: Density and Mechanical Properties of Aluminum Lost Foam Casting by Pressurization during Solidification, J.
Farnsworth: Identification of critical factors affecting shrinkage porosity in permanent mold casting using numerical simulations based on design of experiments, journal of materials processing technology 2 0 9, p. 1209–1219 (2009).
Online since: December 2011
Authors: Shi Hong Pang, Zhen Zhu Ma, Shu Guang Zang, Ying Chun Ou, Yan Zuo, Li Zhong Liu
The mechanical property of the polyurethane interlayer is an important factor of affecting the response of windshield against bird strike.
It is essential to model the bird with the correct mechanical behavior.
The simulation results show that it is worth to optimize the structures and material properties for a good capacity of impact resistance [9-11].
The polyurethane is a polymer which mechanical properties such as elastic modulus and hardness can be adjusted in order to meet different application requirements [12].
From the calculation results, it is found that the elastic modulus of polyurethane is one of the factors which affect the response of windshields.
Online since: March 2008
Authors: Ming Chen, Gang Liu, Kai Xue, Xiang Ming Xu
The result obtained in this study showed that tool geometry affected the chip morphology significantly; cutting speed was the most contributive factor in forming saw-tooth chip.
The wheel steel is the material used for train wheel that has excellent comprehensive mechanical property [3], the chemical com position and mechanical properties of wheel steel were showed in Table1 and Table 2.
Table 1 Chemical composition of wheel steel Chemical composition C Si Mn P S Cr Mo Ni V Cu Al Weight content [%] 0.550 0.270 0.730 0.014 0.010 0.210 0.054 0.170 0.091 0.070 0.016 Table 2 Mechanical properties of wheel steel Parameter Value Unit Residual stress Yield strength Tensile strength Coefficient of extension Reduction of cross sectional area Hardness Absorbed-in-fracture energy(20°C) 3.3 685.0 1011.0 16.8 41.9 286.7 40 [mm] [N/mm 2 ] [N/mm 2 ] [%] [%] [HB] [J/cm 2 ] Because of the properties of workhardening and good ductility, the chips produced in turning wheel steel were always continual, snarl and tough, disposing of the chips is a problem that affects the automaticity of machining.
In consideration of the mechanical properties of wheel steel, cutting speed of 78.5 m/min and 188.4 m/min, with a feed rate of 0.2 mm/rev and 0.36 mm/rev, and depth of cut of 0.5 mm and 1 mm were used (Table 4).Chips were collected and photographed for different cutting conditions.
(2) Cutting speed was the most contributive factor in the formation of saw-tooth chips
Online since: July 2014
Authors: M. Santhanakumar, A. Shanmuga Sundaram, Adalarasan R
The FW parameters like the rotational speed, burn-off length, upset pressure and frictional pressure were found to affect the properties of the fabricated joints [3,4].
(4) Step 5: Determine the main effect (εi) of the factors using the Eq. 5 to find the optimal level.
Step 7: Perform ANOVA to predict the significant factors and conduct the confirmation test.
Noorul Haq, Effect of friction welding parameters on mechanical and metallurgical properties of ferritic stainless steel, Int.
Prasad Rao, A study of mechanical properties of friction welded mild steel to stainless steel joints, Mater.
Online since: February 2021
Authors: Djoko Sihono Gabriel, Roben Hotdysah Putra Saragih
Increased plastic production and consumption, difficult to decompose characteristics [4, 5] and short life cycle [1, 6] can be factors that cause plastic waste problems [7, 8].
In the previous research, repetitive recycling with implementation of material value conservation revealed that degradation of mechanical properties occurred during recycling processes but recycled product can still be used as alternative raw material based on mechanical properties [21].
The characteristics of material plastics are one of the factors affecting colour [26], transparency [27] and gloss [10].
Surface arrangement, inside layer arrangement, material temperature and mould temperature are important factors which influence colour and gloss in the recycling processes [10].
Sardon, Packaging materials with desired mechanical and barrier properties and full chemical recyclability, Nature Communications, Vol. 10 no. 1 (2019) 1–7
Online since: September 2024
Authors: Artem Ruban, Viktoriya Pasternak, Daryna Karpova, Oleksandr Bilotil
The application of numerical methods allowed for a detailed study of the interaction of the sphere, providing an opportunity to analyse the exact properties and assess the influence of various factors in complex structures.
Safety factor: o Determination of the safety factors for the different parts of the structure.
It should also be noted that the simulations have been validated with experimental data (Green’s functions), and their results have been evaluated taking into account all factors affecting the real system.
Ruban, Investigation of the properties of powder materials using computer modeling.
Huliieva, Prediction of the structural properties of powder materials by 3D modeling methods.
Online since: January 2015
Authors: Oleg Stolyarov, Askar Aznabaev, Irina Loginova, Semen Bondarenko, Kirill Gureev, Daria Likhaia, Nikita Lopatin, Elena Yakovleva
The internal force factors arose in the structure were compared.
They identified several negative factors affecting on the strength of the joint connections of rods.
Based on the results of the review, the following goals and objectives of the paper can be set up: Goals of the paper: · Creation of the arched frame structure made of brittle material; · Investigation of the factors affecting on the strength and stiffness of the arch structures.
On the basis of these tensile properties load capacity of the whole structure was determined - 3500 N or 350 kg.
Mechanical properties of polymer composites reinforced with knit fabrics made of high-strength aramid fibres (2009) Fibre Chemistry, Springer, pp. 53–55
Online since: July 2012
Authors: Nai Qiang Hu, Xiu Jun Liu, Zhi Hai Feng, Zhen Fan, Tong Qi Li
There are many influencing factors affect the mechanical properties of C/C composites, including carbon fiber content, kinds of matrix carbon, interface and additives, etc. [5, 6].
To research the mechanical properties and fracture behavior, the mechanical properties of C/C composites are generally measured by Interlaminar Shear Strength (ILSS) [7, 8].
The composite has good mechanical properties.
Effect of carbon fiber surface functional groups on the mechanical properties of carbon/carbon composites with HTT.
Microstructure and mechanical properties of carbon/carbon composites with multilayered pyrocarbon matrix.
Online since: February 2014
Authors: Ragil Widyorini, Harini Sosiati, Supatmi Supatmi, Dwi Astuti Wijayanti, Soekrisno Soekrisno
Properties of the Treated Kenaf/Polypropylene (PP) Composites Harini Sosiati1, a, Supatmi2, D.
The dispersion characteristic of the fibers within the polymer matrix has been suggested as one of the significant factors affecting the composite properties.
Properties of untreated and treated kenaf/PP composites.
This led to good compatibility between fibers and matrix due to the hydrophobic nature of PP, resulting better composite properties as depicted in the properties of S10/PP (Fig.2).
Ling, Mechanical and physical properties of kenaf-derived cellulose (KDC)-filled polylactic acid (PLA) composites, BioResources, 7, 2 (2012) 1643-1655
Online since: August 2021
Authors: Tong Tian, Si Yu Huang
It is an index of the mechanical properties of steel and determines the quality of steel to a certain extent.
The influencing factors of tensile strength include steel processing parameters and chemical composition.
The mechanical properties, as an important part of the properties, greatly affected the quality of a steel product.
Therefore, many scholars and professionals had made many outstanding contributions to the study of the mechanical properties of steel.
Conclusion In this paper, twelve factors including process parameters and chemical composition parameters are taken as input variables and tensile mechanical properties of hot rolled steel as output variables. combines the neural network and quantile regression to construct the QR-GRBFNN model, which provides a relatively systematic model prediction method for the prediction of the tensile strength of iron and steel mechanics.
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