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Online since: September 2013
Authors: Mudassir Hussain, Muhammad Saqib Anwar, Mubashir Gulzar, Muhammad Sajjad Sabir Malik
Since the crankshaft is predisposed to massive loads during combustion cycles, so different factors like endurance has to be kept in mind while designing crankshaft.
Keeping in view the above scenario, the main motive of this paper is to do the fatigue analysis so that we can analyze various factors that are affecting the service life of crankshaft.
Their investigations showed that production volume and requirements of the engine are the pre-eminent factors for this application.
The cast iron crankshaft was found to be most suitable in manufacturing processes, however if the design requires better mechanical properties, than other alternatives have to be took into account.
Model Information Volumetric Properties Material Properties Mass:2.35085 lb Volume:8.45077 in3 Density:0.278181 lb/in3 Weight:2.34925 lbf Name: Steel, prestressing strands Model type:Linear Elastic Isotropic Default failure criterion: Max von Mises Stress Yield strength: 1.650 GPa Tensilestrength:7.23826e+008N/m2 Elastic modulus: 2.1e+01 N/m2 Poisson's ratio: 0.28 Mass density: 7850 kg/m3 Shear modulus:7.9e+010 N/m2 Fig.1.
Keeping in view the above scenario, the main motive of this paper is to do the fatigue analysis so that we can analyze various factors that are affecting the service life of crankshaft.
Their investigations showed that production volume and requirements of the engine are the pre-eminent factors for this application.
The cast iron crankshaft was found to be most suitable in manufacturing processes, however if the design requires better mechanical properties, than other alternatives have to be took into account.
Model Information Volumetric Properties Material Properties Mass:2.35085 lb Volume:8.45077 in3 Density:0.278181 lb/in3 Weight:2.34925 lbf Name: Steel, prestressing strands Model type:Linear Elastic Isotropic Default failure criterion: Max von Mises Stress Yield strength: 1.650 GPa Tensilestrength:7.23826e+008N/m2 Elastic modulus: 2.1e+01 N/m2 Poisson's ratio: 0.28 Mass density: 7850 kg/m3 Shear modulus:7.9e+010 N/m2 Fig.1.
Online since: June 2012
Authors: Huie Chen, Huan Yan, Jun Zhang, Ming Yuan Shi, Zong Fang Chen, Cheng Qiu Cai
This paper analyzes the key factors for deformation control, researches the influencing factors on slurry wall stability during slurry trenching and concreting for diaphragm wall, and proposes control measures to control the stability of slurry wall and matters need attention, which is of great significance to guide the foundation construction.
The influencing factors There are a number of factors influenced on the slurry wall stability.
The properties of slurry.
The properties of foundation soil.
The properties of foundation soil have very important effect to the stability of foundation pit.
The influencing factors There are a number of factors influenced on the slurry wall stability.
The properties of slurry.
The properties of foundation soil.
The properties of foundation soil have very important effect to the stability of foundation pit.
Online since: March 2017
Authors: Ladislav Kander, Šárka Stejskalová, Šárka Hermanová
The paper deals with the change of the structure and mechanical properties of the austenitic steels after the exposure at the critical temperature.
The effects of the bend radius of tubes including effect of solution annealing on the mechanical properties and the structure were studied.
The mechanical properties were studied using small punch test (SPT) and miniaturized tensile tests.
The effect of the heat treatment and the bend radius on the mechanical properties and the structure was also evident.
Hermanová, The change of the structure and mechanical properties of the austenitic steels after exposure at the critical temperature.
The effects of the bend radius of tubes including effect of solution annealing on the mechanical properties and the structure were studied.
The mechanical properties were studied using small punch test (SPT) and miniaturized tensile tests.
The effect of the heat treatment and the bend radius on the mechanical properties and the structure was also evident.
Hermanová, The change of the structure and mechanical properties of the austenitic steels after exposure at the critical temperature.
Online since: March 2007
Authors: Anthony P. Reynolds
Examination of relationships among control and response FSW process
variables (respectively e.g. tool rotation rate and torque) and weld microstructure and properties can
provide important insight regarding how weld properties develop and how best to approach process
development for different alloy classes.
Introduction The microstructure and consequent property distributions produced during FSW of aluminum alloys are dependent on several factors.
The contributing factors include: (1) Alloy composition, (2) alloy temper, (3) welding parameters, (4) gage of the welded plate and other geometric factors.
Plate gage and other geometric factors (e.g. shoulder size, heat sinks associated with clamping, etc.) may affect the temperature distribution within the weld zone and, in particular, through the thickness of the welded plates.
If the starting temper of the alloy is O, then the properties in the weld region will be similar to those in the base metal.
Introduction The microstructure and consequent property distributions produced during FSW of aluminum alloys are dependent on several factors.
The contributing factors include: (1) Alloy composition, (2) alloy temper, (3) welding parameters, (4) gage of the welded plate and other geometric factors.
Plate gage and other geometric factors (e.g. shoulder size, heat sinks associated with clamping, etc.) may affect the temperature distribution within the weld zone and, in particular, through the thickness of the welded plates.
If the starting temper of the alloy is O, then the properties in the weld region will be similar to those in the base metal.
Online since: September 2013
Authors: Qing Wang, Chao Chen, Hai Zhang
Mechanical safety design can comprehensively take a variety of factors into account, through qualitative and quantitative analysis and evaluation decrease the risk of machinery.
Hazard identification Risk assessment Safety design Mechanical safety design Figure 1 Key elements of the mechanical safety design Safety Design of Sawing Machine Identification of Dangerous and harmful factors.
The dangerous and harmful factors of sawing machine should be identified by mechanical safety basic conception and general rules for design (GB/T 15706—2007).
So the safety device must be adopted to eliminate or weaken the dangerous and harmful factors for it (refer with Figure 2).
Analysis of Harmful Factors Leading to Danger of Woodworking Machinery [J].
Hazard identification Risk assessment Safety design Mechanical safety design Figure 1 Key elements of the mechanical safety design Safety Design of Sawing Machine Identification of Dangerous and harmful factors.
The dangerous and harmful factors of sawing machine should be identified by mechanical safety basic conception and general rules for design (GB/T 15706—2007).
So the safety device must be adopted to eliminate or weaken the dangerous and harmful factors for it (refer with Figure 2).
Analysis of Harmful Factors Leading to Danger of Woodworking Machinery [J].
Online since: January 2016
Authors: Ji Zhong Li, Wen Jing Yang, Xue Wen, Hua Ding
Recently, friction stir processing (FSP), as an effective method, has been employed to modify microstructures and mechanical properties of metal sheet.
Continuous efforts have been made to improve the mechanical properties of Al alloy in order to meet the sustainably increasing need for new applications in aerospace industry.
Many previous studies have reported that various FSPed Al alloys obtained a remarkable improvement in their mechanical properties and presented excellent superplasticity.
Effect of FSP on the microstructure and the mechanical properties of commercial pure Al was investigated by Yadav et al.[9].
Moreover, the formation of HAZ (heat affected zone) and TMAZ (thermal mechanical affected zone) after FSP caused deterioration in mechanical properties.
Continuous efforts have been made to improve the mechanical properties of Al alloy in order to meet the sustainably increasing need for new applications in aerospace industry.
Many previous studies have reported that various FSPed Al alloys obtained a remarkable improvement in their mechanical properties and presented excellent superplasticity.
Effect of FSP on the microstructure and the mechanical properties of commercial pure Al was investigated by Yadav et al.[9].
Moreover, the formation of HAZ (heat affected zone) and TMAZ (thermal mechanical affected zone) after FSP caused deterioration in mechanical properties.
Online since: December 2013
Authors: Mohd Razali Muhamad, Nur Izan Syahriah Hussein, Bukhari Manshoor, Taufik Taufik, Mohd Amri Lajis, Laily Suraya, Halida Ilyani Kamarudin Nor, Raja Izamshah, Mohd Hadzley, Mohd Amran Ali
Table 1 shown the properties of aluminium LM6.
Table 1: Mechanical properties of LM6 [3] QUANTITY VALUE UNIT Tensile Strength, Ultimate 290 MPa Tensile Strength, Yield 131 MPa Elongation 3.5 % Poisons ration 0.33 - Fatigue Strength 130 MPa Machinability 30 - Shear Strength 170 MPa Table 2: Factors and levels selected for the experiments Factors Input Parameter Level Low (-1) Medium (0) High (+1) A Peak Current (A) 2 16 30 B Pulse on Time (µs) 1 200 400 C Pulse off Time (µs) 1 805 1609 In this project, three input parameters with three levels were selected.
It shows that peak current is dominant factor affecting MRR followed by pulse on time and pulse off time.
It can be concluded that peak current is the main factor affecting MRR, EWR, and Ra.
Another two factors, pulse on-time and pulse-off time show less significant factor affected the responses.
Table 1: Mechanical properties of LM6 [3] QUANTITY VALUE UNIT Tensile Strength, Ultimate 290 MPa Tensile Strength, Yield 131 MPa Elongation 3.5 % Poisons ration 0.33 - Fatigue Strength 130 MPa Machinability 30 - Shear Strength 170 MPa Table 2: Factors and levels selected for the experiments Factors Input Parameter Level Low (-1) Medium (0) High (+1) A Peak Current (A) 2 16 30 B Pulse on Time (µs) 1 200 400 C Pulse off Time (µs) 1 805 1609 In this project, three input parameters with three levels were selected.
It shows that peak current is dominant factor affecting MRR followed by pulse on time and pulse off time.
It can be concluded that peak current is the main factor affecting MRR, EWR, and Ra.
Another two factors, pulse on-time and pulse-off time show less significant factor affected the responses.
Online since: May 2015
Authors: Yu Ling Liu, Ming Sun, Ao Chen Wang, Shi Yan Fan, Ji Ying Tang, Yan Li
According to the characteristics that liquid viscosity is mainly determined by the liquid temperature and the property that mechanical friction can improve the liquid temperature, the effects of slurry temperature, working pressure and polishing speed on the heterogeneity of polishing rate were investigated.
Liquid viscosity is mainly decided by the temperature, but the increase of polishing pressure and polishing speed can aggravate the friction effect between the wafer and polishing pad, friction energy can be further converted to internal energy resulting in the increase of slurry temperature, thus affecting the slurry viscosity.
The response surface analysis results of the corresponding factors are shown in Fig.6, 7, 8.
Fig.7 Response surface graph of A and C factors Fig.8 Response surface graph of B and C factors Fig.9 The fitting optimal value of desirability Fig.10 The fitting optimal value of HOPR 5 Conclusion The fluid flow model in micro-channels is established.
It indicate that the liquid viscosity is the main factor affecting the liquid mean velocity.
Liquid viscosity is mainly decided by the temperature, but the increase of polishing pressure and polishing speed can aggravate the friction effect between the wafer and polishing pad, friction energy can be further converted to internal energy resulting in the increase of slurry temperature, thus affecting the slurry viscosity.
The response surface analysis results of the corresponding factors are shown in Fig.6, 7, 8.
Fig.7 Response surface graph of A and C factors Fig.8 Response surface graph of B and C factors Fig.9 The fitting optimal value of desirability Fig.10 The fitting optimal value of HOPR 5 Conclusion The fluid flow model in micro-channels is established.
It indicate that the liquid viscosity is the main factor affecting the liquid mean velocity.
Online since: December 2023
Authors: Mirko Sgambetterra, Rolf Schmidt, Giulia Stornelli, Anastasiya Tselikova, Andrea Di Schino
Microalloying in high strength steels causes the generation of some phases in the matrix able to increase the mechanical properties of the joint.
The effect of second peak temperature on hardness and microstructure is reported, especially focusing on residual austenite and precipitation, as main element affecting the fatigue behavior.
The proper balance between mechanical properties in HSLA steels depends on the thermal cycles employed during welding, which can result in low toughness behaviour in the heat-affected zone (HAZ).
Ekrami, Improvement in Mechanical Properties of Microalloyed Steel 30MSV6 by a Precipitation Hardening Process, Journal of Iron Steel and research International, 20 (2013) 66-73
Testani, Corrosion behaviour and mechanical properties of AISI 316 stainless steel clad Q235 plate, Metals 10 (2020) 552
The effect of second peak temperature on hardness and microstructure is reported, especially focusing on residual austenite and precipitation, as main element affecting the fatigue behavior.
The proper balance between mechanical properties in HSLA steels depends on the thermal cycles employed during welding, which can result in low toughness behaviour in the heat-affected zone (HAZ).
Ekrami, Improvement in Mechanical Properties of Microalloyed Steel 30MSV6 by a Precipitation Hardening Process, Journal of Iron Steel and research International, 20 (2013) 66-73
Testani, Corrosion behaviour and mechanical properties of AISI 316 stainless steel clad Q235 plate, Metals 10 (2020) 552
A Robust Statistical Analysis of Factors Affecting Interface Bonding between Asphalt Pavement Layers
Online since: August 2024
Authors: Rabea Al-Jarazi, Ali Rahman, Chang Fa Ai
These factors include mixture properties, temperature, properties of tack coat material and its application rate, moisture, and compaction.
All materials' properties met the technical requirements proposed by the Chinese specification of JTG F40-2004 (Code of China 2004) [12].
The results clearly demonstrate that a statistically significant interaction existed between any two factors.
The three-way FAV differs from the two-way FAV in that it considers three factors, each with multiple levels.
Mechanical testing of interlayer bonding in asphalt pavements.
All materials' properties met the technical requirements proposed by the Chinese specification of JTG F40-2004 (Code of China 2004) [12].
The results clearly demonstrate that a statistically significant interaction existed between any two factors.
The three-way FAV differs from the two-way FAV in that it considers three factors, each with multiple levels.
Mechanical testing of interlayer bonding in asphalt pavements.