다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

A comprehensive analysis of literature pertaining to surface texture metrology for metal additive manufacturing has been performed. This review paper structures the results of this analysis into sections that address specific areas of interest: industrial domain; additive manufacturing processes and materials; types of surface investigated; surface measurement technology and surface texture characterisation. Each section reports on how frequently specific techniques, processes or materials have been utilised and discusses how and why they are employed. Based on these results, possible optimisation of methods and reporting is suggested and the areas that may have significant potential for future research are highlighted.

Surface texture metrology for metal additive manufacturing: a review

Automatic metallic surface defect inspection has received increased attention in relation to the quality control of industrial products. Metallic defect detection is usually performed against complex industrial scenarios, presenting an interesting but challenging problem. Traditional methods are based on image processing or shallow machine learning techniques, but these can only detect defects under specific detection conditions, such as obvious defect contours with strong contrast and low noise, at certain scales, or under specific illumination conditions. This paper discusses the automatic detection of metallic defects with a twofold procedure that accurately localizes and classifies defects appearing in input images captured from real industrial environments. A novel cascaded autoencoder (CASAE) architecture is designed for segmenting and localizing defects. The cascading network transforms the input defect image into a pixel-wise prediction mask based on semantic segmentation. The defect regions of segmented results are classified into their specific classes via a compact convolutional neural network (CNN). Metallic defects under various conditions can be successfully detected using an industrial dataset. The experimental results demonstrate that this method meets the robustness and accuracy requirements for metallic defect detection. Meanwhile, it can also be extended to other detection applications.

Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks

Early fault diagnosis of bearing and stator faults of the single-phase induction motor using acoustic signals

The paper presents the contribution in engineering of surfaces particularly in surface texture of Austenitic Stainless Steels. The objective of the investigation was to determine the surface texture of austenitic stainless steel after turning with coated carbide tool point. The investigation included geometrical parameters of Surface Integrity for different technological cutting parameters in dry turning process of austenitic stainless steel. The article presents the surface roughness parameters with the roughness profiles (irregular slopes). The percentage of isotropic surfaces and Bearing Area of ​​Primary Model. Analyses were performed for variable cutting parameters. An Infinite Focus Measurement Machine (IFM) was used for the surface texture analysis. The study was performed within a production facility during the machining of electric motor parts and deep-well pumps.

Influence of Technological Cutting Parameters on Surface Texture of Austenitic Stainless Steel

The paper presents the results of research on the effect produced by modern cooling methods on the chip shapes and surface roughness when finish turning of ASTM A53 and AISI 1010 low carbon steels. Dry cutting, cooling by compressed air and the Minimum–Quantity–Cooling–Lubrication (MQCL) method were compared. The MQCL method is more effective for machining low carbon steel and ensures a usable chip shape and lesser surface roughness. Depending on the cutting conditions, the efficiency of the MQCL method is 10 to 30 % higher compared to dry machining. Examples of experimental investigations about reducing the use of cooling lubricant substances in turning process can be found in the open literature [1, 2].

Effect of Minimum Quantity Cooling Lubrication (MQCL) on Chip Morphology and Surface Roughness in Turning Low Carbon Steels

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Evaluation of hoop residual stress variations in the thickness of dissimilar welded pipes by using the LCR ultrasonic waves

Rotating machines have been used in a wide variety of industries, such as manufacturing tools [...]

Fault Diagnosis of Rotating Machine

Titanium alloy (Ti–6Al–4V) is a subject of this research because it has high strength and oxidation resistance in a wide range of temperature. As a result of its resistance to high-temperature corrosion, the alloy is used for catalyst-grid. In the present study, full penetration welding of 1 mm thick titanium alloy sheet in a butt configuration was carried out by using an Nd-YAG laser welding machine. The influence of different welding, parameters, such as, welding speed, welding power on the heat affected zone (HAZ) morphology, metallurgy and mechanical properties, has been discussed in detail. Microstructures have been assessed by optical microscopy and by field emission scanning electron microscope (FESEM). The mechanical behavior has been analyzed in terms of Vickers micro-hardness compared with specimens under different welding conditions and base materials. A microstructure with different welding parameters has been scrutinized by FESEM. Hardness of the base metal has been found to be lower ...

Grzegorz Królczyk

Papers

Influence of Technological Cutting Parameters on Surface Texture of Austenitic Stainless Steel

Effect of Minimum Quantity Cooling Lubrication (MQCL) on Chip Morphology and Surface Roughness in Turning Low Carbon Steels

Evaluation of hoop residual stress variations in the thickness of dissimilar welded pipes by using the LCR ultrasonic waves

Fault Diagnosis of Rotating Machine

Study of heat-affected zone and mechanical properties of Nd-YAG laser welding process of thin titanium alloy sheet