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1936 articles for “S-MAC” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Impact of Dynamic Effects on Machine Tools Stability: A Review
Abstract: The current work outlines an approach to the dynamic effect on machine stability and its performance. The prediction of machining stability is of great importance for the design of a machine tool capable of high-precision and high-speed machining. The dynamics of the machine tool have a major influence on the productivity of machine tools. The designers must consider the interaction between the process and the structure in the virtual environment …
Published in Trends in Machine design · Vol. 2, Issue 2, 2015 · pp. 9–15 Read article
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Multi-response Optimization of Process Parameter of Spark Erosion Electric Discharge Machining Using Principal Component Analysis Coupled with TOPSIS
Abstract: Electric Discharge Machining (EDM) is a thermo-electric non-traditional machining process in which material removal takes place through the process of controlled spark generation between a pair of electrodes submerged in a dielectric fluid. Due to difficulty in the availability of EDM, it is very complicated to determine optimal process parameters for improving performance. Therefore, optimization of process parameters is an important action in machining, especially for nontraditional machining procedures like …
Published in Journal of Experimental & Applied Mechanics · Vol. 6, Issue 2, 2015 · pp. 70–80 Read article
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Efficiency Improvement of Permanent Magnet Rotating Electrical Machine (PMREM) with Permanent Magnet Material Selection
Abstract: There are many Permanent Magnet Machines available in the market with the different type of PM material. The rare earth permanent magnet material changes the whole scenario of the market. In comparison with SmCo and AlNiCO magnets, NdFeB magnets have low corrosion resistance. Their chemical reactivity is similar to that of alkaline earth metals like magnesium. Under normal conditions the NdFeB reacts slowly. The reaction is faster at higher temperatures …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 1, 2014 · pp. 1–6 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article
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Methods Based on Machine Learning for Large-scale Classification of Crop Leaf Diseases
Abstract: Worldwide productivity of crops is seriously threatened by crop leaf diseases, which can result in large crop losses and negative economic effects. Effective disease management and crop protection depend on the early and precise detection and classification of these illnesses. Machine learning approaches have gained popularity recently due to their ability to automate procedures related to illness diagnosis and classification. An overview of the several machine learning–based methods used for …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 11–23 Read article
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Prediction of Mobile Phone Price Using Machine Learning Classifiers
Abstract: One cannot imagine one's life without mobile phones; in today's digital era, mobile phones have become a necessity for everyone to fulfil their various demands like messaging, communication, entertainment, productivity, research, shopping and many more. In a thriving market of mobile phones where new smartphones are launched every year with new advanced features and various designs, determining the expense of a mobile can be a trouble-some tasks for consumers. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 101–108 Read article
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Enhancing Cooling Efficiency in Dual Nozzle CO2-Based Vortex Tube Systems for Machining Titanium Alloys: Implications for Polymer and Composite Processing
Abstract: In machining of Titanium alloys, the cutting temperature plays a vital role that directly influences the performance and it is required to maintain as low as possible. In this study, a dual nozzle Vortex Tube Cooling System (VTCS) that supplies cool compressed CO2 gas is developed to reduce the cutting temperature in Ti-6Al-4V machining. The experiments were conducted at constant cutting and flow parameters during turning at different levels of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 284–291 Read article
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Super Ni 718 Machinability Investigation on Electrical Discharge Machining Using Hybrid Al 7(075+178) Electrode Under Abrasive Assisted Dielectric
Abstract: As aluminum alloy is the lightest metal and has the best mechanical qualities among metal, it has proven to be a perfect choice for strututal industry, particularly in the aerospace sector.7xxx alloys from the Al alloy family are widely used in aviation constructions due to their outstanding processing, welding efficiency, great specific strength & stiffness, and high toughness. The two aluminum alloys that are most frequently used in airplane structures …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–17 Read article
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Multiple Disease Prediction Using Machine Learning Algorithms
Abstract: The incorporation of machine learning algorithms into healthcare has transformed disease prediction and diagnosis. This research introduces a method for predicting various diseases using machine learning techniques. A comprehensive dataset, consisting of patient records, medical histories, and key disease-related features, was utilized to build predictive models. Data preprocessing methods, including feature selection and normalization, were implemented to clean and prepare the dataset. Several machine learning algorithms, such as Decision Trees, …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 34–38 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Advancing Healthcare Systems: A Machine Learning Approach to Multi-Disease Prediction
Abstract: The integration of machine learning algorithms in healthcare has revolutionized the way we approach disease prediction and diagnosis. An attempt to employ machine learning techniques to forecast numerous diseases is presented in this study. A diverse dataset containing patient records, medical history, and relevant features for various diseases was used to develop predictive models. Feature selection and normalization were among the preprocessing methods used to clean and prepare the data. …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 1–6 Read article
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Design and Development of Pipe Bending Machine
Abstract: The design and development of a pipe bending machine are crucial for various industrial applications, including the construction, automotive, and manufacturing sectors. Bending is a fundamental metalworking process that involves deforming pipes, tubes, square hollows, and rods without compromising their structural integrity. This study focuses on designing a cost-effective and efficient pipe bending machine that can accommodate different pipe sizes and materials. The key design considerations include selecting an appropriate …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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Advanced Micromachining with Abrasive Jet Machining: Experimental Observations and Model Comparisons
Abstract: Abrasive Jet Machining (AJM), also known as Micro Blast Machining, is a non-traditional machining process that removes material through the erosive action of a high-velocity gas jet carrying fine abrasive particles. This process is particularly effective for machining intricate shapes in hard and brittle materials that are heat-sensitive and prone to chipping. Similar to sandblasting, AJM is widely utilized for tasks such as deburring, rough finishing, and micromachining, especially in …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 Read article
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Optimization of Sustainable Electrochemical Machining Parameters for Polymer based Materials Using AHP Integrated TOPSIS Method
Abstract: The current paper describes the use of the AHP-TOPSIS method to optimize process parameters in sustainable electrochemical machining of polymer composites. Combine lightweight polymer matrices with reinforcing particles or fibers such as TiB₂, SiC, or Al₂O₃, offering high strength-to-weight ratio, corrosion resistance, and design flexibility, making them ideal for aerospace and automotive applications. Non-conductive and heterogeneous nature poses challenges during electrochemical machining, as it affects current distribution and material removal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1048–1059 Read article
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MAC Unit Implementation on FPGA
Abstract: Multiply–accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths. An increase in the number of flip-flops due to pipelining, however, generally results in significant area and power increase. Using this method, we create and build a cutset-free feedforward MAC architecture that maximizes data propagation and removes superfluous pipeline registers. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 29–37 Read article
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Experimental Investigation and Optimization of Machining Parameters for Al6351 Alloy Using a Modified Taguchi Approach
Abstract: Machining processes encompass both conventional and non-conventional techniques and optimizing machining parameters is crucial for achieving high-quality outcomes. However, simplifying these processes remains a significant challenge. This study focuses on determining the optimal machining parameters—cutting speed, feed rate, and depth-of-cut to enhance performance characteristics in Al6351 alloy plates. The parameters evaluated include surface roughness (Ra), material removal rate (MRR), resultant forces (RF), and temperature at the tool- workpiece interface (Temp). …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1463–1481 Read article
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Investigation of Physical Characteristics and Machining Parameters of Improved Al-SiC MMC Using Dry EDM Process for Aerospace Industries
Abstract: Aluminium-based composite is widely used in aerospace and automobile industries because it is lighter in weight; but the trouble is that it is easily worn-out and life of the components is decreased. To overcome these problems, aluminium silicon carbide composite material has been developed with good wear-resistance, hardness and lighter weight. Silicon carbide has good mechanical properties like wear resistance, hardness, toughness and high melting point. Silicon carbide weight fractions …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 15–32 Read article
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To Optimize the Efficiency of Bottle Sleeving Machine by Reducing Systematic Errors
Abstract: Bottle sleeving machines are the machines use to label and sleeving the caps to the bottle. To gain the mass production and to improve the efficiency of this machine our team decided to change the parameters and proper alignment of few parts in machine. Previously, there were several errors include like systematic errors. Firstly, we change the sensors positioning to get successive operation of sleeves to the bottle. There were …
Published in Journal of Production Research & Management · Vol. 12, Issue 2, 2022 · pp. 23–29 Read article
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Design of Gear Tooth Rounding and Chamfering Machine
Abstract: All movable gears which mesh with another gear require either rounding or chamfering. The operation is generally applied to the teeth of spur gears for use in sliding gear transmission of automotive vehicles and machine tool Gear boxes where the gears are moved on their longitudinal axes meshing with another spur gear. In current scenario the mechanically operated machines require lot of settings, which is time consuming and requires one …
Published in Trends in Machine design · Vol. 4, Issue 3, 2017 · pp. 38–44 Read article
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Slotting Attachment on Carriage of Lathe Machine
Abstract: Keyway is the process which is done on slotting machine. Generally keyway is generate on shaft, which is used in a different types of coupling for transmitting the power and hold together different parts. To accommodate key slot is providing either in shaft or in mounting devices or in both according to types of key, this is called or known as keyway. It’s reducing the strength of the part. In …
Published in Trends in Machine design · Vol. 6, Issue 1, 2019 · pp. 25–28 Read article