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Online since: September 2006
Authors: Jean Lu Lebrun, Guenael Germain, Franck Morel, Anne Morel, Bertrand Huneau
For the
titanium alloy, a slight reduction in the fatigue strength was found as in this case the microstructure
and residual stress state of the surface layer was less beneficial.
The output signals for the cutting force are amplified and collected by a data acquisition system with the LabView® software.
The average reduction of the cutting force for a 500 W laser power is 42% for ap = 0.1 mm and only 9% for ap = 0.4 mm (Fig. 3).
The cutting force strongly decreases with the laser power (Fig. 4): an average reduction of 28% for the laser power of 500 W and 51% for 1000 W.
This slight reduction in the fatigue strength can be attributed to the new Crack initiation site Crack initiation site microstructure created and/or to the increase in the residual stresses.
The output signals for the cutting force are amplified and collected by a data acquisition system with the LabView® software.
The average reduction of the cutting force for a 500 W laser power is 42% for ap = 0.1 mm and only 9% for ap = 0.4 mm (Fig. 3).
The cutting force strongly decreases with the laser power (Fig. 4): an average reduction of 28% for the laser power of 500 W and 51% for 1000 W.
This slight reduction in the fatigue strength can be attributed to the new Crack initiation site Crack initiation site microstructure created and/or to the increase in the residual stresses.
Online since: January 2018
Authors: Surasak Suranuntchai, Sethapong Wangchaichune
The experimental results showed that the initial billet volume was reduced at 32%, which compared favorably with the simulation result of a 40% reduction.
Reduction of wastes. 3.
The distribution of temperature at different reductions during preforming and finish forging operations was shown in Fig. 6, respectively.
Also, the maximum experimental load was higher than the maximum simulation load about 11 %, which affected the reduction of stresses on dies.
In addition, sincere thanks must be given to Thai Summit Automotive Co., Ltd for useful advice and providing the importance data about the parts.
Reduction of wastes. 3.
The distribution of temperature at different reductions during preforming and finish forging operations was shown in Fig. 6, respectively.
Also, the maximum experimental load was higher than the maximum simulation load about 11 %, which affected the reduction of stresses on dies.
In addition, sincere thanks must be given to Thai Summit Automotive Co., Ltd for useful advice and providing the importance data about the parts.
Online since: December 2009
Authors: Hossein Khoshkish, Mohammad Sedighi, Mehdi Vahdati
Analysis of data in this research is based on
ANOVA (Analysis Of Variance).
After reanalyzing of data (A, B and C) a modified linear model for spring-back was obtained: (3) d t v back Spring 0389000.0199000.0200000.0683400.0 − − + =− 2 R is coefficient of determination.
The higher 2 R , the better the model fits data.
Fig. 6: 2ormal probability plot of the effects Fig. 7: Pareto chart of the effects Fig. 8: Residuals versus run order 0 0.1 0.2 0.3 0.4 0.5 1 2 3 4 5 6 7 8 Test number Spring-back CMM data Model data Fig. 9: Comparison between CMM and modified model results Conclusion Important and vital results of this research can be summarized as follows: 1.
Increases of sheet thickness, tool diameter, feed rate and spindle speed; and reduction of vertical step size can lead to a reduction in spring-back, independently. 3.
After reanalyzing of data (A, B and C) a modified linear model for spring-back was obtained: (3) d t v back Spring 0389000.0199000.0200000.0683400.0 − − + =− 2 R is coefficient of determination.
The higher 2 R , the better the model fits data.
Fig. 6: 2ormal probability plot of the effects Fig. 7: Pareto chart of the effects Fig. 8: Residuals versus run order 0 0.1 0.2 0.3 0.4 0.5 1 2 3 4 5 6 7 8 Test number Spring-back CMM data Model data Fig. 9: Comparison between CMM and modified model results Conclusion Important and vital results of this research can be summarized as follows: 1.
Increases of sheet thickness, tool diameter, feed rate and spindle speed; and reduction of vertical step size can lead to a reduction in spring-back, independently. 3.
Online since: November 2012
Authors: Jin Yao Li, Ming Yang, Jia Cong Chen, Shi Jia Kong
Therefore, improving the vibration performance of the printing press and designing the structure of anti-vibration and noise reduction to improve the quality and speed of printing presses is an important issue in the press product development.
Testing and analyzing related physical quantity can not only provide objective assessments to products’ quality but also reliable data of producing and researching.
Through vibration sensor, signal acquisition, analytical equipment and PC it obtain a series of data at all stage of rotary-machine-operation such as values of system input and output, vibration elimination, vibration isolation and vibration controlling.
Therefore, improving the performance of anti-vibration of the printing press, design of anti-vibration and noise reduction to improve the quality and speed of printing are critical issues in press product development.
The principle is it obtains the mechanical parameters, transformed into electrical data in proportion to it then.
Testing and analyzing related physical quantity can not only provide objective assessments to products’ quality but also reliable data of producing and researching.
Through vibration sensor, signal acquisition, analytical equipment and PC it obtain a series of data at all stage of rotary-machine-operation such as values of system input and output, vibration elimination, vibration isolation and vibration controlling.
Therefore, improving the performance of anti-vibration of the printing press, design of anti-vibration and noise reduction to improve the quality and speed of printing are critical issues in press product development.
The principle is it obtains the mechanical parameters, transformed into electrical data in proportion to it then.
Online since: July 2019
Authors: Luis Fernando Lamas de Oliveira, Diana Maria Hernandez Castro, Janeth Alina Vidal Vargas, Erika Tomie Koroishi, Osvair Vidal Trevisan
Laboratory data and field experience have shown CO2- enhance oil recovery is the most widely used process to increase the recovery factor.
Table 1 shows the data of each sample.
Pressure transducers were connected to each coreholder in order to record the pressure drop data during the test, the backpressure system also has a pressure transducer in favour to control the outlet system pressure.
Each one recorded the data every 30 seconds for its respective sample.
The first permeability data calculated from the first pressure drop recorded by pressure transducer for DH1-A provided a value of 13,25 mD.
Table 1 shows the data of each sample.
Pressure transducers were connected to each coreholder in order to record the pressure drop data during the test, the backpressure system also has a pressure transducer in favour to control the outlet system pressure.
Each one recorded the data every 30 seconds for its respective sample.
The first permeability data calculated from the first pressure drop recorded by pressure transducer for DH1-A provided a value of 13,25 mD.
Online since: June 2013
Authors: Annalisa Pola, Aldo Attanasio, Giovina Marina La Vecchia, Elisabetta Ceretti
Few data can be found on 6xxx series, as 6061 or 6082 alloys [7, 9, 17-19].
AISI H13 material was selected from DEFORM material data base for simulating mechanical and thermal properties of the die.
Also in this case flow stress, mechanical and thermal properties of AA 6060 material were set according to DEFORM data base.
Table 3 summarizes the material parameters coming from the DERFORMTM-2D data base.
Fig. 6 shows the press (Fig. 6a) and the dies (Fig. 6b) while Table 4 reports the data of the press.
AISI H13 material was selected from DEFORM material data base for simulating mechanical and thermal properties of the die.
Also in this case flow stress, mechanical and thermal properties of AA 6060 material were set according to DEFORM data base.
Table 3 summarizes the material parameters coming from the DERFORMTM-2D data base.
Fig. 6 shows the press (Fig. 6a) and the dies (Fig. 6b) while Table 4 reports the data of the press.
Online since: August 2014
Authors: Ling Yan Sun, Chao Yang
Introduction
In recent years the increasing demands for reducing fuel consumption and release of CO2 gas mostly result in rising requirements concerning the reduction of work piece weight in automobile and aerospace industry.
The high strength metallic materials which allow a reduction of sheet thicknesses have been applied to manufacture heavy duty products.
To validate the reliability of the thermal analysis used in this simulating, AISI 5150H alloy steel was selected based on an available experimental data for this type of steel [9] and a cylindrical workpiece heated by the laser beam was numerically simulated.
The simulation result is in agreement with the published data [9].
As a result, diameter reduction occurs and deviation of internal diameter decreases.
The high strength metallic materials which allow a reduction of sheet thicknesses have been applied to manufacture heavy duty products.
To validate the reliability of the thermal analysis used in this simulating, AISI 5150H alloy steel was selected based on an available experimental data for this type of steel [9] and a cylindrical workpiece heated by the laser beam was numerically simulated.
The simulation result is in agreement with the published data [9].
As a result, diameter reduction occurs and deviation of internal diameter decreases.
Online since: May 2012
Authors: Li Wei, Fang Ma, Wei Guo Li, Song Wen Tan, Zhong Xu, Guang Yu Wang
However, they had obvious difference in whole-cell main fatty acid components, cell size, cell morphology, colony color, motility, oxidase, gelatine liquification, nitrate reduction, NaCl tolerance range, pH tolerance range, G+C mole fraction, sole carbon source, sole nitrogen source, antibiotic sensitivity and a source of the strain isolation.
Phylogenetic analyses were performed using the NJ (neighbor-joining) method[14] in the program of the MEGA 4.1 software package after multiple alignments of sequence data by ClustalX 2.0.
Bootstrap analysis was used to evaluate the tree topology of the NJ data by performing 1000 resamplings.
Catalase and nitrate reduction were positive, and oxidase, amylolysis, gelatine liquefication, casein hydrolysis and tyrosine hydrolysis were negative.
Besides, marked difference can also be seen in such aspects as cell size, cell morphology (HNPHT is blunt at two terminals, while A. halophilus is sharp), colony color, motility, oxidase, gelatine liquefication, nitrate reduction, NaCl tolerance range, pH tolerance range, G+C mole fraction, sole carbon source, sole nitrogen source, antibiotic sensitivity and strain source.
Phylogenetic analyses were performed using the NJ (neighbor-joining) method[14] in the program of the MEGA 4.1 software package after multiple alignments of sequence data by ClustalX 2.0.
Bootstrap analysis was used to evaluate the tree topology of the NJ data by performing 1000 resamplings.
Catalase and nitrate reduction were positive, and oxidase, amylolysis, gelatine liquefication, casein hydrolysis and tyrosine hydrolysis were negative.
Besides, marked difference can also be seen in such aspects as cell size, cell morphology (HNPHT is blunt at two terminals, while A. halophilus is sharp), colony color, motility, oxidase, gelatine liquefication, nitrate reduction, NaCl tolerance range, pH tolerance range, G+C mole fraction, sole carbon source, sole nitrogen source, antibiotic sensitivity and strain source.
Online since: November 2018
Authors: Irina Sizova, Aliakbar Emdadi, Markus Bambach
The results show that a 25% reduction in process time seems viable without increase in damage by solving an optimal control problem, in which the ram speed profile is determined off-line by minimization.
The use of TiAl alloys with a density of approx. 3.9 g / cm3 pursues the goal of replacing the heavy nickel-based superalloys currently used in the high-temperature range, thus achieving a drastic weight reduction.
The constitutive equations relating the flow stress with temperature, strain rate and strain are calibrated from the data of the hot compression tests.
The final time t1 is computed from the velocity v1 so that a constant height reduction is obtained.
McQueen, New formula for calculating flow curves from high temperature constitutive data for 300 austenitic steels, J.
The use of TiAl alloys with a density of approx. 3.9 g / cm3 pursues the goal of replacing the heavy nickel-based superalloys currently used in the high-temperature range, thus achieving a drastic weight reduction.
The constitutive equations relating the flow stress with temperature, strain rate and strain are calibrated from the data of the hot compression tests.
The final time t1 is computed from the velocity v1 so that a constant height reduction is obtained.
McQueen, New formula for calculating flow curves from high temperature constitutive data for 300 austenitic steels, J.
Online since: March 2013
Authors: Jian Wei Huang
Hence, it becomes significant to develop a scientific approach to predict long-term durability on the basis of available data from lab and field to enhance public confidence in using GFRP bars.
By substituting log(365) as the value of x into “y=−0.1467x +1.1717”, tensile strength reduction ∆1 at T1 can be computed as equal to 0.205.
f ftd = f ftc · C’E= f ftc · [1 – (0.205 + 0.147 · log(DL · TSF)) · nH ] (3) Where, C’E is called environmental reduction factor (ERF) as similar to material factor in Canadian Codes [3,4].
For example, it will only take 0.27 month at 20°C to obtain the same strength reduction as compared to 1.0 month at 5.7 °C in April.
[6] Huang, J. and Aboutaha, R., “Environmental Reduction Factors for GFRP Bars Used as Concrete Reinforcement: New Scientific Approach,” J. of Composites for Construction, ASCE, Vol. 14, Issue 5 (2010), p.479-486
By substituting log(365) as the value of x into “y=−0.1467x +1.1717”, tensile strength reduction ∆1 at T1 can be computed as equal to 0.205.
f ftd = f ftc · C’E= f ftc · [1 – (0.205 + 0.147 · log(DL · TSF)) · nH ] (3) Where, C’E is called environmental reduction factor (ERF) as similar to material factor in Canadian Codes [3,4].
For example, it will only take 0.27 month at 20°C to obtain the same strength reduction as compared to 1.0 month at 5.7 °C in April.
[6] Huang, J. and Aboutaha, R., “Environmental Reduction Factors for GFRP Bars Used as Concrete Reinforcement: New Scientific Approach,” J. of Composites for Construction, ASCE, Vol. 14, Issue 5 (2010), p.479-486