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Online since: November 2005
Authors: Ricardo Mendes Leal Neto, C.J. Papini, Walter Kenji Yoshito, Douglas Gouvêa
Mechanical strength, density, thermal and electrical
properties of finished products are strongly affected by particle size distribution [1].
The reproducibility of a powder size measurement is mostly influenced by two factors: sampling and powder dispersion.
Particle size distributions of pure alumina and citric acid - alumina suspensions were strongly affected by pH variation.
The reproducibility of a powder size measurement is mostly influenced by two factors: sampling and powder dispersion.
Particle size distributions of pure alumina and citric acid - alumina suspensions were strongly affected by pH variation.
Online since: November 2016
Authors: Zhi Hong Jia, Zhi Qing Zhang, Qing Liu, Zhang Wen, Ying Ying Liu, Pi Zhi Zhao
And its good comprehensive mechanical properties mainly result from the special microstructure.
This paper mainly studyed how the cold rolling and annealing affect the texture evolution in 6016 aluminum alloy.
Many factors can affect the formation of hot rolling texture, such as temperature, strain rate, the original texture and alloy composition etc.[7].
This paper mainly studyed how the cold rolling and annealing affect the texture evolution in 6016 aluminum alloy.
Many factors can affect the formation of hot rolling texture, such as temperature, strain rate, the original texture and alloy composition etc.[7].
Online since: May 2011
Authors: Ya Ping Wang, Lei Gai, Ming Xia Sun
As one of important parts of ecological residential area environment, acoustic environment directly affects the healthfulness and comfortableness of the whole ecological residential area.
Compared with the artificial sound, they prefer to listen to the sound of nature and the sound related culture. [2] Sound of Musical Instrument Sound System Mechanical Acoustical Traffic noise Biological Sound Natural Phenomenon Sound Fig. 1 Ecological Residential Area Acoustic Environment Elements Human sound Sound of Nature Artificial Sound Singing Rattle Action sound Speak sound Ecological Residential Area Acoustic Environment Elements So, ecological residential area acoustic environment should include the following characteristics: (1) the noise was controlled.
The low frequency noise sdandard The low frequency noise can affect the residents’ auditory comfort.
The Subjective Evaluation The subjective evaluation method of ecological residential area acoustic environment bases on people's subjective evaluation of the different sounds and different responses which combined acoustic environment with many physical properties of the sound.
Including many subjective factors, the subjective evaluation method needs further improvement and perfection.
Compared with the artificial sound, they prefer to listen to the sound of nature and the sound related culture. [2] Sound of Musical Instrument Sound System Mechanical Acoustical Traffic noise Biological Sound Natural Phenomenon Sound Fig. 1 Ecological Residential Area Acoustic Environment Elements Human sound Sound of Nature Artificial Sound Singing Rattle Action sound Speak sound Ecological Residential Area Acoustic Environment Elements So, ecological residential area acoustic environment should include the following characteristics: (1) the noise was controlled.
The low frequency noise sdandard The low frequency noise can affect the residents’ auditory comfort.
The Subjective Evaluation The subjective evaluation method of ecological residential area acoustic environment bases on people's subjective evaluation of the different sounds and different responses which combined acoustic environment with many physical properties of the sound.
Including many subjective factors, the subjective evaluation method needs further improvement and perfection.
Online since: February 2013
Authors: De Jiang Li, Xiao Qin Zeng, Li Li
The temperature and wall thickness of the fiber added affect its formation.
In previous work [8-10], the mechanical and tribological properties have been characterized, and the interfacial characteristics of the Saffil fibers reinforced AE44 magnesium alloy have been investigated already.
Thus, it is very important to choose suitable process parameters if good mechanical property is required.
Sachdev, Mechanical Properties and Microstructural Analysis of AXJ530 Magnesium Alloy Reinforced with Alumina Fibers, in: Agnew, Neale R.
[11] E.A.Nahed, T.Mohamed A, P.Engenius, K.Friedrich, On the influence of process variables on the thermal conditions and properties of high pressure die-cast magnesium alloys, J.
In previous work [8-10], the mechanical and tribological properties have been characterized, and the interfacial characteristics of the Saffil fibers reinforced AE44 magnesium alloy have been investigated already.
Thus, it is very important to choose suitable process parameters if good mechanical property is required.
Sachdev, Mechanical Properties and Microstructural Analysis of AXJ530 Magnesium Alloy Reinforced with Alumina Fibers, in: Agnew, Neale R.
[11] E.A.Nahed, T.Mohamed A, P.Engenius, K.Friedrich, On the influence of process variables on the thermal conditions and properties of high pressure die-cast magnesium alloys, J.
Online since: October 2013
Authors: Hong Hua Su, Jiu Hua Xu, Lin Jiang He, Yan Chen
Introduction
Nickel-based superalloys are widely employed in aircraft engines and the hot end components of various types of gas turbines due to their high strength, strong corrosion resistance and excellent thermal fatigue properties and thermal stability [1].
These properties lead to a series of flaws, such as excessive tool wear, frequent tool change, short tool life, low productivity, and large amount of power consumption, etc [2, 5].
Among the most of the major parameters that affect the machining performance, including the choice of cutting tool, machining method and cutting parameters, etc., the cutting tool is the most critical one [6, 7].
In this study, the maximum flank wear at the cutting edge area seems to be the limiting factor that controlled the tool life in all cases.
The whisker reinforced ceramic tools are effective in machining nickel-based alloys not only in the material removal rate, but also in total removal volume due to their good properties, such as chemical stability, high hot hardness and high wear resistance at high temperature.
These properties lead to a series of flaws, such as excessive tool wear, frequent tool change, short tool life, low productivity, and large amount of power consumption, etc [2, 5].
Among the most of the major parameters that affect the machining performance, including the choice of cutting tool, machining method and cutting parameters, etc., the cutting tool is the most critical one [6, 7].
In this study, the maximum flank wear at the cutting edge area seems to be the limiting factor that controlled the tool life in all cases.
The whisker reinforced ceramic tools are effective in machining nickel-based alloys not only in the material removal rate, but also in total removal volume due to their good properties, such as chemical stability, high hot hardness and high wear resistance at high temperature.
Online since: December 2012
Authors: Arnaud Favre, Bertrand Bellet, Matthias Koitzsch, Dirk Lewke, Olivier Le Barillec, Magali Davenet, Martin Schellenberger, Hans Ulrich Zühlke
Well-established mechanical saws are widely used within IC manufacturing.
That is why the traditional process flow for mechanical wafer dicing is compared to the novel TLS technology.
A crack is guided by thermally induced mechanical stress.
This results in optimum optical and electrical properties of the chips produced.
Depending on the drop size considered, drying time was increased by a factor of 2 to 4.
That is why the traditional process flow for mechanical wafer dicing is compared to the novel TLS technology.
A crack is guided by thermally induced mechanical stress.
This results in optimum optical and electrical properties of the chips produced.
Depending on the drop size considered, drying time was increased by a factor of 2 to 4.
Online since: November 2019
Authors: H.V. Ravindra, G.V. Naveen Prakash, G. Ugrasen, Jain S. Prathik
Naveen Prakash3,c
and G Ugrasen4,d
1Research Scholar, Department of Mechanical Engineering, PES College of Engineering, Mandya-571401, Karnataka, India
2Professor, Department of Mechanical Engineering, PES College of Engineering, Mandya-571401, Karnataka, India
3Professor, Department of Mechanical Engineering, VV College of Engineering, Mysuru-570002, Karnataka, India
3Assistant Professor, Department of Mechanical Engineering, BMS College of Engineering, Bengaluru-560019, Karnataka, India
a*prathik9@gmail.com, bmailhovera@yahoo.com, cnpgvi@yahoo.co.in, dugrasen.g@gmail.com
Keywords: AE, Electrode Wear, ANN.
Selection of optimal values of process parameters, such as pulse duration, pulse frequency, duty factor, peak current, dielectric flow rate, wire speed, wire tension, effective wire offset of WEDM process by applying six most popular population-based non-traditional optimization algorithms, i.e. genetic algorithm, particle swarm optimization, sheep flock algorithm, ant colony optimization, artificial bee colony and biogeography-based optimization for single and multi-objective optimization.
Cemented carbide, which is about two times harder than high-speed steel, exhibits superior wear and heat resistance properties [5].
The artificial neural networks are made of inter connecting neurons which may share some properties of biological neurons.
Response and Optimal parameter Parameters Titanium Material EW (µm) F Value R-Sq Pulse on time 16 19.78 92.16% Pulse off time 8 9.49 Current 5 11.82 Bed speed 35 4.67 Responses obtained 1.52 Effect of Pulse on time on EW and AE parameters (Signal Strength, Count and RMS) From the above optimization the major affecting parameters on EW was pulse on time, so the raw data effect on the EW and AE parameters against machining time were plotted for further discussion.
Selection of optimal values of process parameters, such as pulse duration, pulse frequency, duty factor, peak current, dielectric flow rate, wire speed, wire tension, effective wire offset of WEDM process by applying six most popular population-based non-traditional optimization algorithms, i.e. genetic algorithm, particle swarm optimization, sheep flock algorithm, ant colony optimization, artificial bee colony and biogeography-based optimization for single and multi-objective optimization.
Cemented carbide, which is about two times harder than high-speed steel, exhibits superior wear and heat resistance properties [5].
The artificial neural networks are made of inter connecting neurons which may share some properties of biological neurons.
Response and Optimal parameter Parameters Titanium Material EW (µm) F Value R-Sq Pulse on time 16 19.78 92.16% Pulse off time 8 9.49 Current 5 11.82 Bed speed 35 4.67 Responses obtained 1.52 Effect of Pulse on time on EW and AE parameters (Signal Strength, Count and RMS) From the above optimization the major affecting parameters on EW was pulse on time, so the raw data effect on the EW and AE parameters against machining time were plotted for further discussion.
Online since: March 2011
Authors: Jussi A. Karjalainen, Kari Mäntyjärvi, Janne Lämsä, Antti Järvenpää, Martin Grüner, Marion Merklein
In reality there is always a combination of all three orders of internal stresses but for part properties only first order internal stresses are of interest.
Test material properties are presented in Table 1.
Test material properties.
The best results were obtained by mechanical cutting without grinding or polishing.
In addition to cutting methods, deviation is caused mainly by the fixing position of the sample and material properties.
Test material properties are presented in Table 1.
Test material properties.
The best results were obtained by mechanical cutting without grinding or polishing.
In addition to cutting methods, deviation is caused mainly by the fixing position of the sample and material properties.
Online since: October 2013
Authors: Qin Hui Gong, Ting Gui Li
The final result is that the sinter is not burned through or over burned, which will directly affect the quality and yield [1].
Design of the parameter self-tuning fuzzy PID controller Due to the external interference factors or the system load changes, the characteristic parameters or structure of the sintering mixture control system will be changed.
By statistical analysis, the actual operation experience of operator and expert experience , and considering the factors of control precision, control rules, complexity and stability of control algorithm, the system chooses the positive big (PB), positive median (PM), positive small (PS), positive zero (P0), negative zero (N0), negative small (NS), negative median (NM), negative big (NB) as eight language variable grades.
According to the actual operating experience of operators, expert knowledge of engineering and technical personnel being summed, and the system performance indexes being comprehensively considered, which include the response speed, steady-state accuracy, overshoot, stability and robustness properties, the fuzzy rule table will be constructed
Finally, multiplying the quantization value with the scaling factor, the precise control can be obtained.
Design of the parameter self-tuning fuzzy PID controller Due to the external interference factors or the system load changes, the characteristic parameters or structure of the sintering mixture control system will be changed.
By statistical analysis, the actual operation experience of operator and expert experience , and considering the factors of control precision, control rules, complexity and stability of control algorithm, the system chooses the positive big (PB), positive median (PM), positive small (PS), positive zero (P0), negative zero (N0), negative small (NS), negative median (NM), negative big (NB) as eight language variable grades.
According to the actual operating experience of operators, expert knowledge of engineering and technical personnel being summed, and the system performance indexes being comprehensively considered, which include the response speed, steady-state accuracy, overshoot, stability and robustness properties, the fuzzy rule table will be constructed
Finally, multiplying the quantization value with the scaling factor, the precise control can be obtained.
Online since: March 2009
Authors: Gabriel Ferro, Vito Raineri, Filippo Giannazzo, Fabrizio Roccaforte, Raffaella Lo Nigro, Jens Eriksson, Giuseppe Moschetti, Jean Lorenzzi
The properties of an Ohmic contact, in turn,
depend on several factors, including the metal/semiconductor barrier height, the interfacial
roughness, thermally induced solid-state interfacial reactions, material doping, etc.
However, due to the difficulties to grow high quality 3C-SiC, the available literature lacks any report about Ohmic contact properties on single-domain 3C-SiC crystals.
In this work, both nanoscale and macroscale electrical properties of Ni/3C-SiC Ohmic contacts to single-domain 3C layers, heteroepitaxially grown on 6H-SiC by a VLS technique, were studied as a function of annealing temperature.
Transmission Line Model (TLM) patterns were fabricated in order to study the electrical properties of the contact, using optical photolithography and wet etching of the metal.
The changes observed in the contact material are caused by thermal reactions induced by the annealing (as observed by XRD), which change the structural composition of the interface and thereby also affect the morphological and electrical properties of the Ni/3C-SiC system.
However, due to the difficulties to grow high quality 3C-SiC, the available literature lacks any report about Ohmic contact properties on single-domain 3C-SiC crystals.
In this work, both nanoscale and macroscale electrical properties of Ni/3C-SiC Ohmic contacts to single-domain 3C layers, heteroepitaxially grown on 6H-SiC by a VLS technique, were studied as a function of annealing temperature.
Transmission Line Model (TLM) patterns were fabricated in order to study the electrical properties of the contact, using optical photolithography and wet etching of the metal.
The changes observed in the contact material are caused by thermal reactions induced by the annealing (as observed by XRD), which change the structural composition of the interface and thereby also affect the morphological and electrical properties of the Ni/3C-SiC system.