Recent Patents on Engineering - Volume 18, Issue 5, 2024

Background: Lean Six Sigma is a fact-based, data-driven approach that avoids mistakes to improve quality and efficiency. Artificial intelligence (AI) is now evident in lean six sigma applications. AI waste elimination solutions can eliminate large amounts of waste that LSS could not. In lean six sigma, six sigma tackles process variance, whereas lean reduces waste to improve process quality and efficiency. Objective: To describe Read More

Predictive maintenance (PdM) is a technique that keeps track of the condition and performance of equipment during normal operation to reduce the possibility of failures. Accurate anomaly detection, fault diagnosis, and fault prognosis form the basis of a PdM procedure. This paper aims to explore and discuss research addressing PdM using machine learning and complications using explainable artificial intelligence (XAI) tec Read More

Background: Handicraft workers usually carry out daily activities by adopting awkward postures. The most prevailing health issues among handicraft workers are musculoskeletal disorders (MSDs). Objective: The current research aims to assess the occurrence of musculoskeletal symptoms and investigate risk factors associated with musculoskeletal disorders among metal sculpture artisans. Subsequently, the stu Read More

Background: The use of intelligent decision support systems (IDSS) is widespread in the healthcare industry, particularly for real-time data, client and family history datasets, and prevalent patient features. Objective: A massive chunk of various kinds of health data sets, including sensor information, medical evidence, and omic statistics, are produced by the modern techniques in this field and eventually transferred to a Read More

Background: Advanced technologies, including artificial intelligence (AI) and other Disruptive technology, have been directly responsible for the significant changes, renovations, and enhancements that have taken place in healthcare systems around the world. In spite of the many challenges, particularly in nations still growing their economies, the healthcare industry has a significant number of opportunities. Object Read More

Background: Modern spinning preparatory has undergone drastic technological changes, but still, individual’s expertise-based decisions govern the complex and non-linear multivariant relationships prevailing amongst raw material (cotton) variables, machine variables, process variables (waste), and product (card sliver) quality. The scientifically precise prediction regarding the cleanliness and quality of card sliver and waste contr Read More

Background: Non-Newtonian gas-liquid two-phase flows are often seen in industrial processes such as petroleum, chemical, and food engineering. The efficiency of mass and heat transfer between phases is significantly impacted by bubble rise motion in liquids. Therefore, it is crucial to deeply study the hydrodynamic characteristics of a bubble rising in non-Newtonian fluids to improve the transfer efficiency between phases and Read More

In recent years, with the development of aerospace, automotive, rolling stock, shipbuilding, military weapons and other industries, the demand for bent and rolled parts is increasing, and the requirements for roll forming accuracy are growing. With the rapid development of coal power, hydropower, nuclear power, wind power, and petrochemical industries, the design and research on roll bending machine and the profile Read More

Background: “Smart Building” constructed using “Smart Materials” for “Smart People” and to create or build “Smart Societies or Cities” is the new trend all over the world. Introduction: To implement smartness holistically, it is essential to surf through databases where innovations from all over the world are visible or can be retrieved. A "One stop solution" to locate innovations from specific domains is patent databases and henc Read More

Objective: In order to improve the friction-increasing and wear-reducing performance of the unfolding wheel surface, the surface microstructure of the unfolding wheel used in the detection of 8 kinds of steel balls was optimized by parameter matching. Method: Firstly, based on Hertz's theory, the contact area between steel balls of different sizes and the unfolding wheel are analyzed. The wear depth model is established based Read More

Modern machining machines are becoming more sophisticated and automated, but the problems of thermal deformation caused by machining have also come to the fore. CNC machine tools are used in high-speed, high-feed rate machining conditions, so the impact of thermal deformation factors will lead to a more prominent loss of accuracy. In this context, the design and manufacture of future CNC machine tools need to Read More

Background: Point cloud has become one of the most important data formats for 3D presentation because of the increased availability of acquisition devices and its wide applications. Deep learning has the most powerful ability to capture features from data and has successfully solved various problems in the field of image, such as classification, segmentation, and generation. Deep learning is commonly used to process Read More