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134 articles for “machine error”
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Compensation of Volumetric Error in CNC Machine Tools: A Review
Abstract: In today’s high competitive market, the customer requirement for quality products has increased rapidly. Abundant researches are carried out to make machine tools more versatile and accurate in the fulfilment of such requirements. Now days the CNC machine tools of various configurations with more motion flexibility are used to prepare high quality in machined components. But still, the accuracy is not achieved up to desirable level for some of crucial …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 12–20 Read article
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Reliability of Self Driving Cars
Abstract: One of the most prominent issues of the past ten years has been self-driving cars, which offers superior handling and more precise drive control than human- driven vehicles. Focusing on this problem results in less unacceptable mistakes made by automobiles the more computerised they are. Even if the efficient driving criteria have been raised, collisions are still the worst-case situation for the vehicles and need to be avoided. A vehicle …
Published in Journal of Automobile Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 34–41 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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Effect of Nose Radius and Tool Shape on Diameter Error, Circularity and Surface Roughness in Dry Turning Machine
Abstract: The objective of this paper is to investigate the effect of nose radius and tool shape on diameter error, circularity and surface roughness of turned parts during dry machining operation. The paper presents both analytical and experimental results of nose radius, tool shape and surface roughness of a turned material (alloy steel AISI-4340) in three different levels of control parameters that have been affected by nine cutting tool shapes of …
Published in Trends in Machine design · Vol. 6, Issue 1, 2019 · pp. 29–37 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Intelligent Medical Devices and Robotics in Modern Healthcare: Technological Advancements and Economic Considerations
Abstract: The integration of robots and intelligent medical devices in intensive care units (ICUs) represents a significant advancement in healthcare technology. These systems, including robotic assistants, automated monitoring tools, and AI-powered diagnostic devices, are designed to enhance patient care, streamline workflows, and reduce human error. Robots in the ICU can assist with routine tasks such as medication delivery, patient repositioning, and even basic surgeries, enabling healthcare professionals to focus on critical …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 18–27 Read article
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The Emerging Technologies in the Field of Semiconductors Along with the Use of the System on Chip
Abstract: An entire electronic or computer system can be combined onto a single platform using a system on chip, which is effectively an integrated circuit. The primary objectives underlying the development of this system on chip are to decrease energy waste, cut costs, and decrease the area occupied by massive systems. Students can understand and experience many methods utilised at each level of the design hierarchy using this strategy. The expansion …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 1, 2024 · pp. 8–15 Read article
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Exploring the Influence of Machining Parameters on Geometric Form and Orientation Controls (23 Design)
Abstract: This work explores the influence of machining parameters using on geometric form controls flatness and straightness as well as orientation control parallelism using an aluminum 6061 workpiece. Due to its good strength, machinability and cost- effectiveness, aluminum 6061 is widely used. In this experimental work, full factorial design is used and each factor has two levels. The response parameters chosen include flatness, straightness, and parallelism, which govern the form and …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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Automatic Cloth Cutting Machine Using Programmable Logic Controller
Abstract: AbstractDuring the past few decades, the automation industry has shown a great progress in automatic control of different systems. The manual handling of any system results in less accuracy as compared to automatic control system. This project basically gives an initial theme that how an approach to a cloth cutting can be done using PLC. So, design of automatic cloth cutting machine has been made which gives more accuracy, reduces …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 1–3 Read article
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Enhancing Performance of Hybrid Natural Fiber Reinforced Polymer: Insights into Processing, Characterization and Machining
Abstract: Natural fibre reinforced polymer composites (N-FRP) have gained popularity in recent years as an alternative to regular polymer composites, owing to growing environmental concerns. Natural fibers are becoming increasingly popular due to their outstanding properties such as flexibility, strength, compatibility with living creatures, and impact resistance. A notable application of natural fibers is in the medical industry, with the goal of producing cost-effective, sustainable, and long-lasting products. Combining different fibers …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 139–153 Read article
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The Future of Machining: Automation and Robotics in Modern Tools and Mechanics
Abstract: With the inclusion of automation and robots in current tools and mechanics, machining has undergone a substantial evolution. While robots has made it possible to automate difficult and repetitive jobs, automation has enhanced productivity, minimized errors, and increased regularity. Automation and robotics in machining have highly improved the industrial sector, delivering in more productivity, reduced prices, and better product quality. Automation and robotics will likely be used in machining increasingly …
Published in Trends in Mechanical Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 29–33 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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Versatile CNC Machine for Tabletop Use Enhanced with Machine Learning Integration
Abstract: In the realm of tabletop multipurpose CNC machines, the integration of machine learning represents a groundbreaking advancement potentially revolutionary in the field of desktop manufacturing. This research explores the seamless incorporation of machine learning algorithms into tabletop CNC machines to enhance their capabilities, performance, and user experience. Through case studies and examples, we demonstrate the profound impact of machine learning integration in key areas of CNC machining, such as accurate …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 353–361 Read article
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Multi-Objective Optimization of Carbon-Glass Fiber Polymer Drilling Process Based on Fuzzy Grey Entropy Weighing Method
Abstract: In recent years, the machining characteristics of hybrid fiber polymer composites have garnered significant research attention due to their growing industrial applications. This study specifically focuses on the drilling of hybrid carbon-glass fiber reinforced (CGFR) epoxy composites, fabricated using the hand layup technique. The key machining characteristics evaluated in this drilling process include surface roughness and circularity error. The influence of critical drilling process parameters, such as spindle speed, drill …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 100–112 Read article
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Machine Learning for Finding Materials for Membranes
Abstract: Traditionally, finding and improving membrane materials has depended on trial-and-error experiments, which can take a long time, cost a lot of money, and only cover a small area. Recent improvements in machine learning (ML) have the potential to change the way membrane materials are designed by making it possible to make predictions about performance, selectivity, and stability based on data. ML algorithms can find hidden links between the structure, composition, …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Minimization of Steady State Error of DC Motor Drive Using PID Controller
Abstract: As it is the time of advanced technology, machinery implementation is increasing very rapidly. Industries always work with the implemented technology which gives the fast and accurate response of the system. This paper includes the dc motor speed controlling using the PID controller. Close loop control system and electrical drives have the advantageous system for the technology. DC motor is used for getting best and easiest speed and torque control …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 25–29 Read article
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Gob to pursue heat to mould – a study
Abstract: This article is the study of gob at hot state between molten glass pool and mould machine. The empirical description has modification from trial and error prosecution to suggest automated produce equipment. Feedback sensing loop from plunger feed at mould has data conversion ethic to shaped mass regulator equipment. Modification in the trajectory of flow line production has improved quality produce at minimized wear. Difference in composition-wise viscosity and heat …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 47–53 Read article