Calculation of the machining time of cutting tools from captured images of machined parts using image texture features

Machining burrs are formed at all machined workpiece edges. One useful solution to decrease machining time and cost, in particular for milling parts, is to generate machined parts edges with minimum burr. This article proposes burr edge occupancy ηs as an index to evaluate deburring difficulty and, consequently, adequate selection of suitable deburring methods. Initially the sensitivity of ηs to cutting parameters must be evaluated. We investigated the main governing factors on ηs when slot milling two types of aluminium alloys (from different families) that are used in the automotive and aerospace industries. The cutting parameters that led to edges with minimum ηs are presented. It was found that, unlike most burr size attributes, ηs is sensitive to variation of the cutting parameters used: cutting speed, family of material, and cutting tools. Lower ηs means less time and effort for deburring and edge finishing of machined parts. Furthermore, ηs measurement is more convenient than the procedures used to measure other burr size attributes, including burr height (bh) and burr thickness (bt).

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Research on college gymnastics teaching model based on multimedia image and image texture feature analysis

Discover Internet of Things ◽

10.1007/s43926-021-00015-6 ◽

2021 ◽

Vol 1 (1) ◽

Author(s):

Ying Wu ◽

Jikun Liu

Keyword(s):

Human Body ◽

Rapid Development ◽

Texture Feature ◽

Texture Features ◽

Dynamics Simulation ◽

Image Texture ◽

Whole Body ◽

Database Modeling ◽

Rigid Model ◽

The Subject

AbstractWith the rapid development of gymnastics technology, novel movements are also emerging. Due to the emergence of various complicated new movements, higher requirements are put forward for college gymnastics teaching. Therefore, it is necessary to combine the multimedia simulation technology to construct the human body rigid model and combine the image texture features to display the simulation image in texture form. In the study, GeBOD morphological database modeling was used to provide the data needed for the modeling of the whole-body human body of the joint and used for dynamics simulation. Simultaneously, in order to analyze and summarize the technical essentials of the innovative action, this experiment compared and analyzed the hem stage of the cross-headstand movement of the subject and the hem stage of the 180° movement. Research shows that the method proposed in this paper has certain practical effects.

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An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses

Ultrasonic Imaging ◽

10.1177/0161734621998091 ◽

2021 ◽

pp. 016173462199809

Author(s):

Dhurgham Al-karawi ◽

Hisham Al-Assam ◽

Hongbo Du ◽

Ahmad Sayasneh ◽

Chiara Landolfo ◽

...

Keyword(s):

Gabor Filter ◽

Empirical Evaluation ◽

Texture Features ◽

Image Texture ◽

Support Vector ◽

Simple Majority ◽

Ultrasound Scan ◽

Histograms Of Oriented Gradients ◽

The Individual ◽

Ovarian Masses

Significant successes in machine learning approaches to image analysis for various applications have energized strong interest in automated diagnostic support systems for medical images. The evolving in-depth understanding of the way carcinogenesis changes the texture of cellular networks of a mass/tumor has been informing such diagnostics systems with use of more suitable image texture features and their extraction methods. Several texture features have been recently applied in discriminating malignant and benign ovarian masses by analysing B-mode images from ultrasound scan of the ovary with different levels of performance. However, comparative performance evaluation of these reported features using common sets of clinically approved images is lacking. This paper presents an empirical evaluation of seven commonly used texture features (histograms, moments of histogram, local binary patterns [256-bin and 59-bin], histograms of oriented gradients, fractal dimensions, and Gabor filter), using a collection of 242 ultrasound scan images of ovarian masses of various pathological characteristics. The evaluation examines not only the effectiveness of classification schemes based on the individual texture features but also the effectiveness of various combinations of these schemes using the simple majority-rule decision level fusion. Trained support vector machine classifiers on the individual texture features without any specific pre-processing, achieve levels of accuracy between 75% and 85% where the seven moments and the 256-bin LBP are at the lower end while the Gabor filter is at the upper end. Combining the classification results of the top k ( k = 3, 5, 7) best performing features further improve the overall accuracy to a level between 86% and 90%. These evaluation results demonstrate that each of the investigated image-based texture features provides informative support in distinguishing benign or malignant ovarian masses.

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Analysis of tool vibration and surface roughness during turning process of tempered steel samples using Taguchi method

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering ◽

10.1177/09544089211001976 ◽

2021 ◽

pp. 095440892110019

Author(s):

Menderes Kam ◽

Mustafa Demirtaş

Keyword(s):

Surface Roughness ◽

Taguchi Method ◽

Cutting Tools ◽

Cutting Speed ◽

Machining Parameters ◽

Turning Process ◽

Machining Time ◽

Tool Vibration ◽

Control Factors ◽

Tempered Steel

This study analyzed the tool vibration (Vib) and surface roughness (Ra) during turning of AISI 4340 (34CrNiMo6) tempered steel samples using Taguchi Method. In this context, Taguchi design L18 (21 × 32) was used to analyze the experimental results. The vibration amplitude values from cutting tools were recorded for different machining parameters, control factors; two different sample hardness (46 and 53 HRc), three different cutting speeds (180, 220, 260 m.min−1), and feed rates (0.08, 0.14, 0.20 mm.rev−1) were selected. The machining parameters giving optimum Vib and Ra values were determined. Regression analysis is applied to predict values of Vib and Ra. Analysis of variance was used to determine the effects of machining parameters on the Vib and Ra values. The most important machining parameters were found to be the feed rate, sample hardness, and cutting speed for Vib and Ra, respectively. The lowest Vib and Ra values were obtained in 46 HRc sample as 0.0022 gRMS and 0.255 µm, respectively. The surface quality can be improved by reducing the sources of vibration by using appropriate machining parameters. As a result, there is a significant relationship between Ra and Vib. The lower Ra values were found during turning process of tempered steel samples according to the literature studies. It is suggested that the process can be preferred as an alternative process to grinding process due to lower cost and machining time. In application of the turning of experiment samples by ceramic cutting tool, a substantial technological and economical benefit has been observed.

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A study of T2-weighted MR image texture features and diffusion-weighted MR image features for computer-aided diagnosis of prostate cancer

10.1117/12.2007979 ◽

2013 ◽

Cited By ~ 12

Author(s):

Yahui Peng ◽

Yulei Jiang ◽

Tatjana Antic ◽

Maryellen L. Giger ◽

Scott Eggener ◽

...

Keyword(s):

Prostate Cancer ◽

Texture Features ◽

Computer Aided Diagnosis ◽

Image Features ◽

Image Texture ◽

Mr Image ◽

Diffusion Weighted ◽

Computer Aided ◽

And Diffusion ◽

Aided Diagnosis

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Dispositivos De Interrupcion Subia (Dis) Para El Analisis De Raices Viruta

Investigacion e Innovación en Ingenierias ◽

10.17081/invinno.2.2.2046 ◽

2014 ◽

Vol 2 (2) ◽

Author(s):

Diego Alejandro Neira Moreno

Keyword(s):

Cutting Tool ◽

Cutting Tools ◽

Scientific Research ◽

Cutting Process ◽

Work Piece ◽

Mechanical Forces ◽

Machining Processes ◽

Research Instrument ◽

Machined Parts ◽

Interaction Phenomena

El estudio de las variables y efectos derivados del mecanizado provee herramientas de conocimiento tendientes a optimizar el uso de las herramientas y los procedimientos de maquinado industrial. Este artículo de reflexión aborda el uso de los dispositivos de interrupción súbita (DIS) como herramientas de obtención de raíces de viruta para la investigación científica del mecanizado industrial, y para el estudio de los efectos derivados de la interacción entre las herramientas de corte y el material de trabajo, en función de los cambios microestructurales del material de trabajo, dependientes de la temperatura producida y los esfuerzos mecánicos de la herramienta de corte durante el mecanizado. Mediante la reflexión se destaca la importancia de los DIS como instrumentos de investigación científica en la manufactura, ya que estos permiten obtener muestras de viruta para estudiar las variables incidentes en el maquinado y a partir de esta evidencia, proponer alternativas para optimizar la fabricación de piezas y la integridad de las herramientas empleadas en el proceso.AbstractThe study of the variables and effects derived from the machining processes brings the knowledge needed to optimize the use of machining tools and procedures. This article is an opinion piece about the use of quick stop devices (QSD) as a scientific research instrument in machining projects to obtain chip roots, to study the interaction phenomena between cutting tool and work piece material that depends on temperature and the mechanical forces produced by the cutting tool during the cutting process. This article deals about how important the QSD are as a research instruments in manufacture because with this instruments it is possible to analyze the machining variables, based on the evidences bring by the chip roots obtained with the instrument. It is possible to propose optimization alternatives in the manufacture of machined parts and the integrity of cutting tools.

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An Optimization of Automated Process Planning for Manufacturing Prismatic Parts on a Machining Center

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.789-790.1270 ◽

2015 ◽

Vol 789-790 ◽

pp. 1270-1274

Author(s):

Janjira Kongchuenjai ◽

Suksan Prombanpong

Keyword(s):

Mathematical Model ◽

Process Planning ◽

Cutting Tools ◽

Cnc Machining ◽

Total Production ◽

Machining Time ◽

Optimal Sequence ◽

Machining Center ◽

Prismatic Parts ◽

The Mathematical Model

One of the objectives of process planning optimization is to diminish machining time. Nowadays a lot of research papers presented different algorithms to solve this classic problem. Thus, the optimal sequence of parts in the machining operations by considering fixture faces, part faces, number of operations and number of tools is presented in this paper. The mathematical model based on the integer linear programming is developed to minimize the total production time of the prismatic parts manufactured on a CNC machining center equipped with the tombstone-type fixture. The time required for machining, tool traveling and tool changing is taken into consideration under relevant constraints such as precedence, fixture and available cutting tools. The optimal process plan can be obtained from the mathematical model and it is considered practical and acceptable.

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