Ahmet Meyveci - Academia.edu (original) (raw)
Papers by Ahmet Meyveci
Metal Science and Heat Treatment, 2004
Special features of abrasive wear of deformable aluminum alloy AA6351 are studied as a function o... more Special features of abrasive wear of deformable aluminum alloy AA6351 are studied as a function of aging conditions and modes of friction tests. After aging in different modes the specimens are tested for wear in a special installation by the method of "brad against disk" with the use of abrasives with different grain sizes. The effects of different speeds of sliding and loads on the wear resistance and surface roughness are studied.
Advanced Functional Materials, 2006
ABSTRACT
Technological Applied Sciences, Feb 1, 2009
In this study, statistical values of microhardness were investigated in terms of temperature and ... more In this study, statistical values of microhardness were investigated in terms of temperature and duration of aged aluminium 2XXX and 6XXX alloys. AA 2024 and AA 6063 aluminum alloys were solution treated at two different temperatres of 490°C and 520°C. Then all samples were cooled to room temperature. After this process, the samples were aged at three different temperatures (140°C, 180°C, 220°C) for ten different periods of time (2, 4, 6, 8, 10, 12, 14, 16, 18 and 20 h.). The microstructure of the aged samples was examined by optical SEM-EDS and X-Ray analysis. The hardness values of the aged samples were tested by microhardness tests. The samples were examined by Multivariate Analysis of Variance (MANOVA) with a confidence level of %95 to find out whether a statistically significant difference occurs. As a result of this analysis, temperature and duration on the wear behaviours of aged aluminium 2XXX and 6XXX alloys were statistically significant in microhardness values.
Fen Bilimleri Enstitüsü, 2007
This study is dedicated to the analysis of the problems of occupational safety in Turkey, Italy a... more This study is dedicated to the analysis of the problems of occupational safety in Turkey, Italy and Poland. The need analysis was applied to three different countries which are Turkey; 4, Poland; 1, Italy; 1 state. The number of the subjects is 891 in Turkey. The number of the subjects is 26 in Italy and the number of the subjects is 19 in Poland. The total number of samples of study is 936. Four different forms (Job Security Experts Form, Student Form, Teacher Form and Company Form) were applied. Results of experts of job security forms are rate of 7.1%. Then, the students' forms are rate of 34.3%, teacher or instructor forms are rate of 9.9%. The last corporation forms are rate of 48.7%.
Journal of Yaşar University, 2009
This paper reports on the effectiveness of a back-propagation artificial neural network model tha... more This paper reports on the effectiveness of a back-propagation artificial neural network model that predicts the wear loss of 2024 and 6063 Al Alloy samples which have been aged different temperatures (140°C, 180 °C, 220 °C) and different aging time. Artificial Neural Networks (ANNs) have the capacity to eliminate the need for expensive and difficult experimental investigation in testing and manufacturing processes. This paper shows that ANNs can be employed for optimizing the process parameters of aluminum alloys. Predicted values from the model and experimental values are in close agreement and this indicates the usefulness of applying ANNs in predicting wear loss results.
MEYVECI A., KARACAN, I., FIRAT, E. H., CALIGULU, U., DURMUS, H., “Study of Wear of Aged Aluminum ... more MEYVECI A., KARACAN, I., FIRAT, E. H., CALIGULU, U., DURMUS, H., “Study of Wear of Aged Aluminum Alloys 2XXX and 6XXX within the Manova Statistical Analysis, Metal Science and Heat Treatment, Vol. 53, Nos. 3-4, pp. 173-175, July, 2011. DOI: 10.1007/s11041-011-9363-5
Materials Testing, 2012
In this study, the effect of aging heat treatment on the hardness of AA 2024 and AA 6063 aluminum... more In this study, the effect of aging heat treatment on the hardness of AA 2024 and AA 6063 aluminum alloys was investigated by experimental and an Artificial Neural Network (ANN). AA 2024 and AA 6063 aluminum alloys were solution treated at two different temperatures of 490° C and 520° C. Then both samples were cooled to room temperature. After this process, the samples were aged at three different temperatures (140° C, 180° C, 220° C) for ten different periods of time (2, 4, 6, 8, 10, 12, 14, 16, 18, and 20 h.). The experimental results were trained in an ANNs program, and the results were compared with experimental values. It is observed that the experimental results coincided with the ANNs results.
Powder Metallurgy and Metal Ceramics, 2010
This paper reports the outcome of an investigation into the effect of Al2O3 content on the micros... more This paper reports the outcome of an investigation into the effect of Al2O3 content on the microstructure and wear properties of Al–Al2O3 metal matrix composites. The Al–Al2O3 composites are prepared by a mechanical alloying method using Al2O3 powders up to 20 vol.% as reinforcement. Alloying is performed in a vibration mill using a ball-to-powder ratio 10:1 and a milling time
Materials and Manufacturing Processes, 2011
In this work, effects of drilling parameters (feed rate and spindle speed) on the twist drill bit... more In this work, effects of drilling parameters (feed rate and spindle speed) on the twist drill bit temperature in drilling of austenitic stainless steel material with and without the use of coolant is experimentally investigated. During drilling experiments, the drill bit temperature was measured by using SMART SENSOR AR360 Infrared Thermometer. The performance parameters viz. feed rate and spindle speed are varied as per L 9 orthogonal array. The experiments were conducted by using High Speed Steel (HSS) drills having 82°, 100° and 118° drill point angles respectively. Analysis of temperature on the drilling parameters concluded that, the drilling temperature of the specimen increases with increase in both cutting speed and feed rate. This work thoroughly construes that 118° drill point angle produced the highest drilling temperature during the specimen drilling. Thus in order to reduce the thermal effects during machining of the specimen, the 80° drill point angle is recommended.
MEYVECİ, A., KARACAN, I., DURMUS, H. and CALIGULU, U.," Artificial Neural Network (ANN) Appr... more MEYVECİ, A., KARACAN, I., DURMUS, H. and CALIGULU, U.," Artificial Neural Network (ANN) Approach to Hardness Prediction of Aged Aluminium 2024 and 6063 Alloys" MP-Materials Testing-Materials and Components Technology and Application, 54 (1), 36-40, 2012.
MEYVECI, A., KARACAN, İ., CALIGULU, U. and DURMUS, H., “Pin-On-Disc Characterization of 2XXX and ... more MEYVECI, A., KARACAN, İ., CALIGULU, U. and DURMUS, H., “Pin-On-Disc Characterization of 2XXX and 6XXX Aluminium Alloys Aged by Precipitation Age Hardening”, Journal of Alloys and Compounds, 491(1-2), 278-283, 2010.
Metal Science and Heat Treatment, 2004
Special features of abrasive wear of deformable aluminum alloy AA6351 are studied as a function o... more Special features of abrasive wear of deformable aluminum alloy AA6351 are studied as a function of aging conditions and modes of friction tests. After aging in different modes the specimens are tested for wear in a special installation by the method of "brad against disk" with the use of abrasives with different grain sizes. The effects of different speeds of sliding and loads on the wear resistance and surface roughness are studied.
Advanced Functional Materials, 2006
ABSTRACT
Technological Applied Sciences, Feb 1, 2009
In this study, statistical values of microhardness were investigated in terms of temperature and ... more In this study, statistical values of microhardness were investigated in terms of temperature and duration of aged aluminium 2XXX and 6XXX alloys. AA 2024 and AA 6063 aluminum alloys were solution treated at two different temperatres of 490°C and 520°C. Then all samples were cooled to room temperature. After this process, the samples were aged at three different temperatures (140°C, 180°C, 220°C) for ten different periods of time (2, 4, 6, 8, 10, 12, 14, 16, 18 and 20 h.). The microstructure of the aged samples was examined by optical SEM-EDS and X-Ray analysis. The hardness values of the aged samples were tested by microhardness tests. The samples were examined by Multivariate Analysis of Variance (MANOVA) with a confidence level of %95 to find out whether a statistically significant difference occurs. As a result of this analysis, temperature and duration on the wear behaviours of aged aluminium 2XXX and 6XXX alloys were statistically significant in microhardness values.
Fen Bilimleri Enstitüsü, 2007
This study is dedicated to the analysis of the problems of occupational safety in Turkey, Italy a... more This study is dedicated to the analysis of the problems of occupational safety in Turkey, Italy and Poland. The need analysis was applied to three different countries which are Turkey; 4, Poland; 1, Italy; 1 state. The number of the subjects is 891 in Turkey. The number of the subjects is 26 in Italy and the number of the subjects is 19 in Poland. The total number of samples of study is 936. Four different forms (Job Security Experts Form, Student Form, Teacher Form and Company Form) were applied. Results of experts of job security forms are rate of 7.1%. Then, the students' forms are rate of 34.3%, teacher or instructor forms are rate of 9.9%. The last corporation forms are rate of 48.7%.
Journal of Yaşar University, 2009
This paper reports on the effectiveness of a back-propagation artificial neural network model tha... more This paper reports on the effectiveness of a back-propagation artificial neural network model that predicts the wear loss of 2024 and 6063 Al Alloy samples which have been aged different temperatures (140°C, 180 °C, 220 °C) and different aging time. Artificial Neural Networks (ANNs) have the capacity to eliminate the need for expensive and difficult experimental investigation in testing and manufacturing processes. This paper shows that ANNs can be employed for optimizing the process parameters of aluminum alloys. Predicted values from the model and experimental values are in close agreement and this indicates the usefulness of applying ANNs in predicting wear loss results.
MEYVECI A., KARACAN, I., FIRAT, E. H., CALIGULU, U., DURMUS, H., “Study of Wear of Aged Aluminum ... more MEYVECI A., KARACAN, I., FIRAT, E. H., CALIGULU, U., DURMUS, H., “Study of Wear of Aged Aluminum Alloys 2XXX and 6XXX within the Manova Statistical Analysis, Metal Science and Heat Treatment, Vol. 53, Nos. 3-4, pp. 173-175, July, 2011. DOI: 10.1007/s11041-011-9363-5
Materials Testing, 2012
In this study, the effect of aging heat treatment on the hardness of AA 2024 and AA 6063 aluminum... more In this study, the effect of aging heat treatment on the hardness of AA 2024 and AA 6063 aluminum alloys was investigated by experimental and an Artificial Neural Network (ANN). AA 2024 and AA 6063 aluminum alloys were solution treated at two different temperatures of 490° C and 520° C. Then both samples were cooled to room temperature. After this process, the samples were aged at three different temperatures (140° C, 180° C, 220° C) for ten different periods of time (2, 4, 6, 8, 10, 12, 14, 16, 18, and 20 h.). The experimental results were trained in an ANNs program, and the results were compared with experimental values. It is observed that the experimental results coincided with the ANNs results.
Powder Metallurgy and Metal Ceramics, 2010
This paper reports the outcome of an investigation into the effect of Al2O3 content on the micros... more This paper reports the outcome of an investigation into the effect of Al2O3 content on the microstructure and wear properties of Al–Al2O3 metal matrix composites. The Al–Al2O3 composites are prepared by a mechanical alloying method using Al2O3 powders up to 20 vol.% as reinforcement. Alloying is performed in a vibration mill using a ball-to-powder ratio 10:1 and a milling time
Materials and Manufacturing Processes, 2011
In this work, effects of drilling parameters (feed rate and spindle speed) on the twist drill bit... more In this work, effects of drilling parameters (feed rate and spindle speed) on the twist drill bit temperature in drilling of austenitic stainless steel material with and without the use of coolant is experimentally investigated. During drilling experiments, the drill bit temperature was measured by using SMART SENSOR AR360 Infrared Thermometer. The performance parameters viz. feed rate and spindle speed are varied as per L 9 orthogonal array. The experiments were conducted by using High Speed Steel (HSS) drills having 82°, 100° and 118° drill point angles respectively. Analysis of temperature on the drilling parameters concluded that, the drilling temperature of the specimen increases with increase in both cutting speed and feed rate. This work thoroughly construes that 118° drill point angle produced the highest drilling temperature during the specimen drilling. Thus in order to reduce the thermal effects during machining of the specimen, the 80° drill point angle is recommended.
MEYVECİ, A., KARACAN, I., DURMUS, H. and CALIGULU, U.," Artificial Neural Network (ANN) Appr... more MEYVECİ, A., KARACAN, I., DURMUS, H. and CALIGULU, U.," Artificial Neural Network (ANN) Approach to Hardness Prediction of Aged Aluminium 2024 and 6063 Alloys" MP-Materials Testing-Materials and Components Technology and Application, 54 (1), 36-40, 2012.
MEYVECI, A., KARACAN, İ., CALIGULU, U. and DURMUS, H., “Pin-On-Disc Characterization of 2XXX and ... more MEYVECI, A., KARACAN, İ., CALIGULU, U. and DURMUS, H., “Pin-On-Disc Characterization of 2XXX and 6XXX Aluminium Alloys Aged by Precipitation Age Hardening”, Journal of Alloys and Compounds, 491(1-2), 278-283, 2010.