Ossama Abouelatta | Mansoura University (original) (raw)
Papers by Ossama Abouelatta
Journal of Materials Processing Technology, 2005
ABSTRACT The prosthetic composite materials have been improved and are now widely used for variou... more ABSTRACT The prosthetic composite materials have been improved and are now widely used for various kinds of prosthetic restorations. Three composite materials SR Chromasit, Palfique Estelite, and Palfique Toughwell were assessed, and SR Ivocron material was used as a reference material. The composite specimens polymerized with their proprietary curing units and were stored with the reference specimen in water for 14 days and subsequently subjected to toothbrush/dentifrice abrasion. The amounts of wear loss of each specimen after 20,000 strokes were determined. Palfique Toughwell composite material showed less wear and surface roughness than any of the other assessed materials.
The most important aspect of any engineering material is its structure. The methods used to accur... more The most important aspect of any engineering material is its structure. The methods used to accurately determine the material microstructures is a very time-consuming process, causes operator fatigue, and it is prone to human errors and inconsistency. There are two computational approaches, a texture features and a neural network algorithm, are used separately for classifying and detection of surface textures in the field of remote sensing, science, medicine, journalism, advertising, design, education and entertainment. In this paper, a combination of the two approaches has been utilized to classify and to detect copper and copper alloys microstructure using image process, texture features and neural network. The overall average discrimination rate results from the combined approaches are about 97.6%. This paper offers a reliable basis for the classification and characterization of microscopic images by image processing and neural network.
Objectives: The aim of this study was to investigate the hardness, morphology and structure of de... more Objectives: The aim of this study was to investigate the hardness, morphology and structure of dental porcelain and In-Ceram Alumina after conventional glazing, XeCl excimer and CO2 laser glazing techniques at two energy densities. Materials and Methods: The materials used were conventional feldspathic porcelain Vitadur N and Vita In-Ceram Alumina. The hardness was measured using Vickers microhardness tester. SEM and X-ray diffraction analysis of the surface structure were conducted to detect the surface changes. Results: The hardness of the porcelain specimens was not significantly increased with 2 watt CO2 laser and 1.5 Joule/cm2 excimer laser glazing. Also, the hardness of in-ceram alumina was not significantly increased with 2 and 10 watt CO2 laser glazing. On the contrary, the hardness of porcelain was significantly increased with 10 watt CO2 and 6.2 Joule/cm2 excimer lasers, as well as the in-ceram alumina was significantly increased with excimer laser glazing. Scanning electr...
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2008
Texture is an important image feature in image analysis, which is related to qualitative properti... more Texture is an important image feature in image analysis, which is related to qualitative properties of surfaces and corresponds to both brightness value and pixel locations. Image texture has been introduced into a wide range of applications such as metal surface analysis, textiles characterization, ultrasonic images processing, and food qualities evaluation. One of the most common methods for texture analysis is the grey level co-occurrence matrix (GLCM), which has a large number of texture features. In this work, an investigation of the relationship between GLCM texture features and the cutting conditions in milling operations (typically, feed, speed, and depth of cut) has been carried out. A vision system was employed to capture images for specimens with various known cutting conditions; then, the images were analysed by a software, which has been fully developed in-house to calculate 22 texture features. The relationship between each texture feature and the three cutting conditi...
Journal of Materials Processing Technology, 2001
... Lasota and Rusek [4] described how the condition of the machine tool can influence energy con... more ... Lasota and Rusek [4] described how the condition of the machine tool can influence energy consumption during the generation of the surface finish in turning operations. ... 2.1. Turning machine. An SV 18 universal turning machine tool was used in the experiments. ...
ABSTRACT The incorporation of antibiotics in bone cements for the treatment and prevention of inf... more ABSTRACT The incorporation of antibiotics in bone cements for the treatment and prevention of infection in orthopedics has become common clinical practice for more than 3 decades. In this study, the release of gentamicin sulfate (GS) as a function of time was measured for three different concentration of gentamicin-loaded glass ionomer bone cement (GIC) and related with the surface roughness, porosity and wettability of the cements. Specimens were prepared by adding 4, 6 and 8 gm of GS to 40 gm of the powder of GIC. In this way, three GS concentrations [9.1, 13.0, and 16.6 (%w/w)] were obtained to form groups II, III, and IV, respectively. One group remains without GS addition to be a control group (group I). The cumulative amounts of GS released after 6 h were 52.0%, 68.3% and 75.7% from the loading discs in groups II, III, and IV, respectively. The cumulative GS released after 1 week was 77%, 88% and 98% of the total amount of antibiotic incorporated for groups II, III and IV, respectively. Group IV released after 1 week significantly more of the gentamicin incorporated (98%). In addition, it has the highest values of surface roughness (Ra = 0.45 μm), porosity (7.7%) and the least wettability (45.3°). Both initial and total release rates increased with surface roughness, porosity and decreased as the wettability increased. It can be concluded that the release kinetics of gentamicin is controlled by concentration of antibiotic, roughness, porosity and wettability.
Journal of Materials Processing Technology, 2005
The prosthetic composite materials have been improved and are now widely used for various kinds o... more The prosthetic composite materials have been improved and are now widely used for various kinds of prosthetic restorations. Three composite materials SR Chromasit, Palfique Estelite, and Palfique Toughwell were assessed, and SR Ivocron material was used as a reference material. The composite specimens polymerized with their proprietary curing units and were stored with the reference specimen in water for 14 days and subsequently subjected to toothbrush/dentifrice abrasion. The amounts of wear loss of each specimen after 20,000 strokes were determined. Palfique Toughwell composite material showed less wear and surface roughness than any of the other assessed materials.
American Journal of Biomedical Engineering, 2012
Resin-based composites are used worldwide in dentistry as they are used in a huge variety of clin... more Resin-based composites are used worldwide in dentistry as they are used in a huge variety of clinical applications, as an esthetic restorative material with excellent physical and mechanical properties when adequate polymerization is obtained. In this study, depth of cure and microhardness of three composites were measured and compared. A total of sixty hu man mandibular first molars were used. The teeth were d ivided into three main groups (20 teeth each) according to the co mposite resins that were used. In group I, Surefil (packab le co mposite) was used as the restorative material. In group II, Esthet-X-improved (nanofilled co mposite) was used, while in group III Glacier (hybrid co mposite) was used. Each group was subdivided into four subgroups (five teeth each) according to the storage intervals (24 hours, one week, two weeks, and three weeks). In each group, occlusomesial cavities were prepared with diamond burs and restored with the composite, according to manufacturer's instructions. In all specimens, composite was applied to the cavity using incremental technique. All the restored teeth were subjected to in v itro thermal cycling and mechanical loading simulat ing a total o f six months in vivo function. Depth of cure was evaluated using penetrometer and microhardness was measured using Vicker's microhardness tester. A significant difference in depth of cure and microhardness were found between the three composites used. Depth of cure and microhardness of the packable composite was better than the other two composites used. There was a fairly good correlation between the microhardness and the depth of cure for the three co mposite materials.
Chlorine levels and pH receive much attention in the swimming world as they determine whether the... more Chlorine levels and pH receive much attention in the swimming world as they determine whether the pool water will be people–friendly that are safe, comfortable and enjoyable for swimmers or causing irritation and negative effects on the body. Enamel samples were prepared for testing microhardness and surface roughness. A total of 80 specimens were prepared for this study. They were divided into four main groups according to pH of chlorinated water 7.5, 6.5, 5.5 and 4.5 as slightly alkaline, slightly acidic, medium and highly acidic, each group 20 specimens. Each group was further classified into two classes according to the frequency of immersion (Regular = 2 hours/day and intensive = 4 hours/day). Each class was divided into two equal subclasses according to the testing procedure (Microhardness or surface roughness). The subgroup placed in pH 7.5 was used as a control as recommended by many investigators. Microhardness and surface roughness of each specimen were tested before and o...
The present study is initiated to develop a generalized computer based simulation for predicting ... more The present study is initiated to develop a generalized computer based simulation for predicting surface roughness for any given conditions which takes into consideration the important parameters influencing the dynamic behavior of the machine-tool-workpiece system. The parameters considered in the simulation are: machining variables, tool and workpiece variables, and machine-tool-workpiece system. Matlab Simulink TM is used to interactively perform the simulation in a user-friendly, effective and efficient manner. The effects of machining variables and tooling characteristics on the surface generation are investigated through simulations. Turning trials have been carried out to evaluate and validate the presented approach and simulations. Using simulation program, the results agreed with the cutting test in the prediction of the cutting process. The percentage errors between predicted and measured roughness parameters were found to be less than 20%. The method can be used to facili...
Abstract—The purpose of a seat suspension system are attempt to isolate vehicle vibration excitat... more Abstract—The purpose of a seat suspension system are attempt to isolate vehicle vibration excitations from being transmitted to the drivers and to improve passenger comfort. Traditional seat suspension systems are composed of 2-DOF, that is springs and viscous dampers. This paper, presents a 7-DOF vehicle’s driver model with seat suspension system. A genetic algorithm is applied to search for the optimal parameters of the seat in order to minimize seat suspension deflection and driver’s body acceleration to achieve the best comfort of the driver. The simulation results were compared with the ones of the passive suspensions through step and sinusoidal excitation of the seat suspension system for the currently used suspension systems. The optimum design parameters of the suspension systems obtained are kse=5014.1 N/m and cse=55.5 N.s/m in case of sinusoidal input and kse=42934 N/m and cse=50 N.s/m in case of step input, respectively.
ABSTRACT Ceramic restorations are frequently adjusted prior to cementation and in the oral cavity... more ABSTRACT Ceramic restorations are frequently adjusted prior to cementation and in the oral cavity after cementation at the dental office. Final adjustments may result in loss of ceramic glaze, which requires new polishing of the ceramic surface, with special attention for selection of adequate materials and instruments to enhance the surface smoothness of ceramic restorations. Purpose. This study was done to evaluate the efficiency of different polishing system indicated for intra-oral dental ceramic polishing. Materials and methods. Three different ceramic polishing systems; aluminum oxide discs (Sof-Lex), micro-cloth discs with diamond twist super-charged polishing paste (SCO intra-oral polishing kit), and diamond polishing kit (OptraFine). Rectangular specimens 7x9x5 mm were fabricated from Leucite-based ceramic and finished with an abrasive silicon carbide stones then divided into 4 groups (n=5) each. Control group was left without polishing (finished only). The other three groups; each group was polished with different polishing system. Quantitative and qualitative analysis of these specimens' surfaces were done by using surface roughness profilometer and scanning electron microscope, respectively. Results. The ANOVA test demonstrated that no statistically significant difference between the polishing surfaces of SCO and OptraFine. The lowest parameters were recorded with Sof-Lex polishing system, while, the highest parameters were recorded with control finished porcelain group. The structural analysis of scanning electron microscope micrographs were coincided with the results of three dimensional surface roughness parameters. Conclusion. Based on the findings of the present study, polishing aluminum oxide discs seem to be effective for polishing porcelain surfaces after surface reduction intra-orally.
JES. Journal of Engineering Sciences
Surface roughness is considered as one of the most specified customer requirements in machining p... more Surface roughness is considered as one of the most specified customer requirements in machining processes. For efficient use of machine tools, selection of machining process and determination of optimal cutting parameters (speed, feed and depth of cut) are required. Therefore, it is necessary to find a suitable way to select and to find optimal machining process and cutting parameters for a specified surface roughness values. In this work, machining process was carried out on AISI 1040 steel in dry cutting condition in a lathe, milling and grinding machines and surface roughness was measured. Forty five experiments have been conducted using varying speed, feed, and depth of cut in order to find the surface roughness parameters. This data has been divided into two sets on a random basis; 36 training data set and 9 testing data set. The training data set has been used to train different artificial neural network (ANN) models in order to predict machining processes and surface roughness parameter values through back propagation network. Experimental data collected from tests were used as input parameters of a neural network to identify the sensitivity among machining operations, cutting parameters and surface roughness. Selected indexes were used to design a suitable algorithm for the prediction of machining processes. A software was developed and implemented to predict the machining processes and surface roughness values. The results showed that the proposed models are capable of predicting machining operations, cutting parameters and surface roughness.
MEJ. Mansoura Engineering Journal
Bulletin of the Faculty of Engineering. Mansoura University
Technological development accompanied the need to get a high-quality welding. The important indus... more Technological development accompanied the need to get a high-quality welding. The important industries such as oil and auto industries and other important industries need to rely on reliable welding operations; collapse as a result of this welding may mean a great loss in lives and money. This paper aimed to produce an automatic system to detect, recognize and classify welding cases (defects and no defects) in radiography images was described depending upon image histogram technique. Two main steps to do that, In the first step, image processing techniques, including converting color images to gray scale, filtering image, and resizing were implemented to help in the image array of weld images and the detection of weld defects. The second step, a proposed program was build in-house depending upon Matlab to classify and recognize automatically six types of weld defects met in practice, it is Porosity-Undercut-Lac of fusion-Crack-Slag-Cavity, plus the non-defect type. It was clear from the results that it can rely on this method significantly, reaching rates as well as the appointment of defects and no defects to about 94.3%.
MEJ. Mansoura Engineering Journal
Journal of Materials Processing Technology, 2005
ABSTRACT The prosthetic composite materials have been improved and are now widely used for variou... more ABSTRACT The prosthetic composite materials have been improved and are now widely used for various kinds of prosthetic restorations. Three composite materials SR Chromasit, Palfique Estelite, and Palfique Toughwell were assessed, and SR Ivocron material was used as a reference material. The composite specimens polymerized with their proprietary curing units and were stored with the reference specimen in water for 14 days and subsequently subjected to toothbrush/dentifrice abrasion. The amounts of wear loss of each specimen after 20,000 strokes were determined. Palfique Toughwell composite material showed less wear and surface roughness than any of the other assessed materials.
The most important aspect of any engineering material is its structure. The methods used to accur... more The most important aspect of any engineering material is its structure. The methods used to accurately determine the material microstructures is a very time-consuming process, causes operator fatigue, and it is prone to human errors and inconsistency. There are two computational approaches, a texture features and a neural network algorithm, are used separately for classifying and detection of surface textures in the field of remote sensing, science, medicine, journalism, advertising, design, education and entertainment. In this paper, a combination of the two approaches has been utilized to classify and to detect copper and copper alloys microstructure using image process, texture features and neural network. The overall average discrimination rate results from the combined approaches are about 97.6%. This paper offers a reliable basis for the classification and characterization of microscopic images by image processing and neural network.
Objectives: The aim of this study was to investigate the hardness, morphology and structure of de... more Objectives: The aim of this study was to investigate the hardness, morphology and structure of dental porcelain and In-Ceram Alumina after conventional glazing, XeCl excimer and CO2 laser glazing techniques at two energy densities. Materials and Methods: The materials used were conventional feldspathic porcelain Vitadur N and Vita In-Ceram Alumina. The hardness was measured using Vickers microhardness tester. SEM and X-ray diffraction analysis of the surface structure were conducted to detect the surface changes. Results: The hardness of the porcelain specimens was not significantly increased with 2 watt CO2 laser and 1.5 Joule/cm2 excimer laser glazing. Also, the hardness of in-ceram alumina was not significantly increased with 2 and 10 watt CO2 laser glazing. On the contrary, the hardness of porcelain was significantly increased with 10 watt CO2 and 6.2 Joule/cm2 excimer lasers, as well as the in-ceram alumina was significantly increased with excimer laser glazing. Scanning electr...
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2008
Texture is an important image feature in image analysis, which is related to qualitative properti... more Texture is an important image feature in image analysis, which is related to qualitative properties of surfaces and corresponds to both brightness value and pixel locations. Image texture has been introduced into a wide range of applications such as metal surface analysis, textiles characterization, ultrasonic images processing, and food qualities evaluation. One of the most common methods for texture analysis is the grey level co-occurrence matrix (GLCM), which has a large number of texture features. In this work, an investigation of the relationship between GLCM texture features and the cutting conditions in milling operations (typically, feed, speed, and depth of cut) has been carried out. A vision system was employed to capture images for specimens with various known cutting conditions; then, the images were analysed by a software, which has been fully developed in-house to calculate 22 texture features. The relationship between each texture feature and the three cutting conditi...
Journal of Materials Processing Technology, 2001
... Lasota and Rusek [4] described how the condition of the machine tool can influence energy con... more ... Lasota and Rusek [4] described how the condition of the machine tool can influence energy consumption during the generation of the surface finish in turning operations. ... 2.1. Turning machine. An SV 18 universal turning machine tool was used in the experiments. ...
ABSTRACT The incorporation of antibiotics in bone cements for the treatment and prevention of inf... more ABSTRACT The incorporation of antibiotics in bone cements for the treatment and prevention of infection in orthopedics has become common clinical practice for more than 3 decades. In this study, the release of gentamicin sulfate (GS) as a function of time was measured for three different concentration of gentamicin-loaded glass ionomer bone cement (GIC) and related with the surface roughness, porosity and wettability of the cements. Specimens were prepared by adding 4, 6 and 8 gm of GS to 40 gm of the powder of GIC. In this way, three GS concentrations [9.1, 13.0, and 16.6 (%w/w)] were obtained to form groups II, III, and IV, respectively. One group remains without GS addition to be a control group (group I). The cumulative amounts of GS released after 6 h were 52.0%, 68.3% and 75.7% from the loading discs in groups II, III, and IV, respectively. The cumulative GS released after 1 week was 77%, 88% and 98% of the total amount of antibiotic incorporated for groups II, III and IV, respectively. Group IV released after 1 week significantly more of the gentamicin incorporated (98%). In addition, it has the highest values of surface roughness (Ra = 0.45 μm), porosity (7.7%) and the least wettability (45.3°). Both initial and total release rates increased with surface roughness, porosity and decreased as the wettability increased. It can be concluded that the release kinetics of gentamicin is controlled by concentration of antibiotic, roughness, porosity and wettability.
Journal of Materials Processing Technology, 2005
The prosthetic composite materials have been improved and are now widely used for various kinds o... more The prosthetic composite materials have been improved and are now widely used for various kinds of prosthetic restorations. Three composite materials SR Chromasit, Palfique Estelite, and Palfique Toughwell were assessed, and SR Ivocron material was used as a reference material. The composite specimens polymerized with their proprietary curing units and were stored with the reference specimen in water for 14 days and subsequently subjected to toothbrush/dentifrice abrasion. The amounts of wear loss of each specimen after 20,000 strokes were determined. Palfique Toughwell composite material showed less wear and surface roughness than any of the other assessed materials.
American Journal of Biomedical Engineering, 2012
Resin-based composites are used worldwide in dentistry as they are used in a huge variety of clin... more Resin-based composites are used worldwide in dentistry as they are used in a huge variety of clinical applications, as an esthetic restorative material with excellent physical and mechanical properties when adequate polymerization is obtained. In this study, depth of cure and microhardness of three composites were measured and compared. A total of sixty hu man mandibular first molars were used. The teeth were d ivided into three main groups (20 teeth each) according to the co mposite resins that were used. In group I, Surefil (packab le co mposite) was used as the restorative material. In group II, Esthet-X-improved (nanofilled co mposite) was used, while in group III Glacier (hybrid co mposite) was used. Each group was subdivided into four subgroups (five teeth each) according to the storage intervals (24 hours, one week, two weeks, and three weeks). In each group, occlusomesial cavities were prepared with diamond burs and restored with the composite, according to manufacturer's instructions. In all specimens, composite was applied to the cavity using incremental technique. All the restored teeth were subjected to in v itro thermal cycling and mechanical loading simulat ing a total o f six months in vivo function. Depth of cure was evaluated using penetrometer and microhardness was measured using Vicker's microhardness tester. A significant difference in depth of cure and microhardness were found between the three composites used. Depth of cure and microhardness of the packable composite was better than the other two composites used. There was a fairly good correlation between the microhardness and the depth of cure for the three co mposite materials.
Chlorine levels and pH receive much attention in the swimming world as they determine whether the... more Chlorine levels and pH receive much attention in the swimming world as they determine whether the pool water will be people–friendly that are safe, comfortable and enjoyable for swimmers or causing irritation and negative effects on the body. Enamel samples were prepared for testing microhardness and surface roughness. A total of 80 specimens were prepared for this study. They were divided into four main groups according to pH of chlorinated water 7.5, 6.5, 5.5 and 4.5 as slightly alkaline, slightly acidic, medium and highly acidic, each group 20 specimens. Each group was further classified into two classes according to the frequency of immersion (Regular = 2 hours/day and intensive = 4 hours/day). Each class was divided into two equal subclasses according to the testing procedure (Microhardness or surface roughness). The subgroup placed in pH 7.5 was used as a control as recommended by many investigators. Microhardness and surface roughness of each specimen were tested before and o...
The present study is initiated to develop a generalized computer based simulation for predicting ... more The present study is initiated to develop a generalized computer based simulation for predicting surface roughness for any given conditions which takes into consideration the important parameters influencing the dynamic behavior of the machine-tool-workpiece system. The parameters considered in the simulation are: machining variables, tool and workpiece variables, and machine-tool-workpiece system. Matlab Simulink TM is used to interactively perform the simulation in a user-friendly, effective and efficient manner. The effects of machining variables and tooling characteristics on the surface generation are investigated through simulations. Turning trials have been carried out to evaluate and validate the presented approach and simulations. Using simulation program, the results agreed with the cutting test in the prediction of the cutting process. The percentage errors between predicted and measured roughness parameters were found to be less than 20%. The method can be used to facili...
Abstract—The purpose of a seat suspension system are attempt to isolate vehicle vibration excitat... more Abstract—The purpose of a seat suspension system are attempt to isolate vehicle vibration excitations from being transmitted to the drivers and to improve passenger comfort. Traditional seat suspension systems are composed of 2-DOF, that is springs and viscous dampers. This paper, presents a 7-DOF vehicle’s driver model with seat suspension system. A genetic algorithm is applied to search for the optimal parameters of the seat in order to minimize seat suspension deflection and driver’s body acceleration to achieve the best comfort of the driver. The simulation results were compared with the ones of the passive suspensions through step and sinusoidal excitation of the seat suspension system for the currently used suspension systems. The optimum design parameters of the suspension systems obtained are kse=5014.1 N/m and cse=55.5 N.s/m in case of sinusoidal input and kse=42934 N/m and cse=50 N.s/m in case of step input, respectively.
ABSTRACT Ceramic restorations are frequently adjusted prior to cementation and in the oral cavity... more ABSTRACT Ceramic restorations are frequently adjusted prior to cementation and in the oral cavity after cementation at the dental office. Final adjustments may result in loss of ceramic glaze, which requires new polishing of the ceramic surface, with special attention for selection of adequate materials and instruments to enhance the surface smoothness of ceramic restorations. Purpose. This study was done to evaluate the efficiency of different polishing system indicated for intra-oral dental ceramic polishing. Materials and methods. Three different ceramic polishing systems; aluminum oxide discs (Sof-Lex), micro-cloth discs with diamond twist super-charged polishing paste (SCO intra-oral polishing kit), and diamond polishing kit (OptraFine). Rectangular specimens 7x9x5 mm were fabricated from Leucite-based ceramic and finished with an abrasive silicon carbide stones then divided into 4 groups (n=5) each. Control group was left without polishing (finished only). The other three groups; each group was polished with different polishing system. Quantitative and qualitative analysis of these specimens' surfaces were done by using surface roughness profilometer and scanning electron microscope, respectively. Results. The ANOVA test demonstrated that no statistically significant difference between the polishing surfaces of SCO and OptraFine. The lowest parameters were recorded with Sof-Lex polishing system, while, the highest parameters were recorded with control finished porcelain group. The structural analysis of scanning electron microscope micrographs were coincided with the results of three dimensional surface roughness parameters. Conclusion. Based on the findings of the present study, polishing aluminum oxide discs seem to be effective for polishing porcelain surfaces after surface reduction intra-orally.
JES. Journal of Engineering Sciences
Surface roughness is considered as one of the most specified customer requirements in machining p... more Surface roughness is considered as one of the most specified customer requirements in machining processes. For efficient use of machine tools, selection of machining process and determination of optimal cutting parameters (speed, feed and depth of cut) are required. Therefore, it is necessary to find a suitable way to select and to find optimal machining process and cutting parameters for a specified surface roughness values. In this work, machining process was carried out on AISI 1040 steel in dry cutting condition in a lathe, milling and grinding machines and surface roughness was measured. Forty five experiments have been conducted using varying speed, feed, and depth of cut in order to find the surface roughness parameters. This data has been divided into two sets on a random basis; 36 training data set and 9 testing data set. The training data set has been used to train different artificial neural network (ANN) models in order to predict machining processes and surface roughness parameter values through back propagation network. Experimental data collected from tests were used as input parameters of a neural network to identify the sensitivity among machining operations, cutting parameters and surface roughness. Selected indexes were used to design a suitable algorithm for the prediction of machining processes. A software was developed and implemented to predict the machining processes and surface roughness values. The results showed that the proposed models are capable of predicting machining operations, cutting parameters and surface roughness.
MEJ. Mansoura Engineering Journal
Bulletin of the Faculty of Engineering. Mansoura University
Technological development accompanied the need to get a high-quality welding. The important indus... more Technological development accompanied the need to get a high-quality welding. The important industries such as oil and auto industries and other important industries need to rely on reliable welding operations; collapse as a result of this welding may mean a great loss in lives and money. This paper aimed to produce an automatic system to detect, recognize and classify welding cases (defects and no defects) in radiography images was described depending upon image histogram technique. Two main steps to do that, In the first step, image processing techniques, including converting color images to gray scale, filtering image, and resizing were implemented to help in the image array of weld images and the detection of weld defects. The second step, a proposed program was build in-house depending upon Matlab to classify and recognize automatically six types of weld defects met in practice, it is Porosity-Undercut-Lac of fusion-Crack-Slag-Cavity, plus the non-defect type. It was clear from the results that it can rely on this method significantly, reaching rates as well as the appointment of defects and no defects to about 94.3%.
MEJ. Mansoura Engineering Journal