Analysis of E-Glass Fiber Wheel Rim by Using ANSYS

Bisht, Pankaj Singh; Awasthi, Ankita

doi:10.1007/978-981-15-8704-7_9

Cited by 32 publications

(10 citation statements)

References 3 publications

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“…On the other end of the spectrum, for users with hearing impairments, the focus shifts to providing visual or tactile feedback of auditory and spoken elements within videos. Real-time sign language translation within video streams represents a leap forward in this regard [15]. The system captures the spoken language through speech recognition algorithms and then converts the recognized speech into sign language gestures.…”

Section: Adaptive Image and Video Processing Techniquesmentioning

confidence: 99%

A Review on Enhancing Accessibility Through Image and Video Processing: Solutions for Differently Abled Individuals

Anjimoon,

Sobti

et al. 2024

E3S Web Conf.

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This paper presents innovative methodologies in image and video processing aimed at augmenting accessibility for differently abled individuals. Central to this research is the development of advanced algorithms that enable enhanced interpretation and interaction with multimedia content, thereby empowering users with sensory impairments. The study introduces a multi-layered framework that integrates adaptive filtering, object recognition, and augmented reality, tailored to the needs of users with visual and auditory challenges. Semantic scene analysis is leveraged to provide descriptive audio annotations for the visually impaired, facilitating a comprehensive understanding of visual data. For individuals with hearing impairments, the system incorporates real-time sign language interpretation within videos, utilizing deep learning techniques. The efficacy of these solutions is measured against conventional accessibility tools, demonstrating significant improvements in user engagement and comprehension. A novel contribution of this research is the application of machine learning to calibrate the system according to individual user profiles, ensuring a personalized and intuitive user experience. The scalability of the proposed system is validated through its implementation across various platforms and content formats. The findings suggest that such technological advancements have the potential to significantly reduce the barriers faced by differently abled individuals in accessing multimedia information.

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Section: Adaptive Image and Video Processing Techniquesmentioning

confidence: 99%

A Review on Enhancing Accessibility Through Image and Video Processing: Solutions for Differently Abled Individuals

Anjimoon,

Sobti

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…There are several elements that compose a car wheel. The nomenclature is given below [10][11][12][13]: Rim -a part on which the tyre is placed; Disc -a part of the rim that is attached to the axle hub; Offset -a space between the mounting surface of the wheel where it is attached to the hub and the centre line; Flange: a part of the rim that holds two tyre beds; Bead Seat: a part of the rim that holds the tyre in a radial direction; Hump -a part that prevents the tyre from sliding off the rim when the vehicle is in motion; Hub Hole -a part of the rim with depth and width that facilitates the installation and removal of the tyre from the rim.…”

Section: Car Wheel Rimsmentioning

confidence: 99%

“…Inadequate design and material lead to damage and weight reduction of the vehicle which is a major problem in the automotive industry. Nowadays, the most common materials for manufacturing of car rims are aluminium alloy and steel replaced by epoxy materials made of carbon fibre E-Glass [10]. Steel is often used due to its lower cost and its lower density than aluminium.…”

Section: Function and Requirements Of A Car Wheel Rimmentioning

confidence: 99%

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Determination of a Safety Factor of a Car Wheel Rim Using Finite Element Analysis in Solidworks

Desnica¹,

Đurđev²,

Vaščić³

et al. 2022

Applied Engineering Letters

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In this paper, a static analysis of car wheel rims made of different materials was performed with the aim of determining their safety factors. Selection of suitable car rims is very important since they are subject to different loads and have the role of transferring car mass both in static and dynamic conditions. Considering the high stresses that occur, car rims are made of strong and durable materials. For the purposes of static analysis and determination of safety factors of car rims, this research considered steel, aluminium, magnesium and carbon fibre rims. Based on the technical drawing of a car wheel rim, a solid model was created within the SolidWorks software, after which the calculation and simulation of loads and stresses is achieved. Afterwards, the safety factors of the car wheel rim made of four considered materials were determined using the finite element analysis (FEA). According to the obtained results regarding safety factors, it can be concluded that the carbon fibre wheel rims are the most suitable alternative for static conditions of exploitation.

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“…This capability is paramount to maximizing the utilization of renewable energy and reducing reliance on fossil-fuel-based peaking power plants, which are both costly and environmentally detrimental. Despite the profound advantages, the implementation of AI in power grids is not devoid of obstacles [8][9][10][11][12][13][14][15][16][17]. Concerns regarding data privacy, cybersecurity, and the need for robust communication infrastructure must be addressed.…”

Section: Introductionmentioning

confidence: 99%

Integration of AI in Distributed Energy Resource Management for Enhanced Load Balancing and Grid Stability

Dasari,

Raj,

Nijhawan

et al. 2024

E3S Web Conf.

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The landscape of power systems is undergoing a transformative shift with the burgeoning inclusion of Distributed Energy Resources (DERs), which, while beneficial in enhancing the sustainability of electricity supply, introduces complexity in grid management. This paper presents a comprehensive framework leveraging Artificial Intelligence (AI) to orchestrate DER operations, thus achieving optimized load balancing and grid stability. A multi-agent system that utilizes machine learning algorithms is proposed, capable of predictive analytics and real-time decision-making. The architecture is underpinned by a robust data layer that assimilates inputs from a myriad of sensors and smart meters, facilitating the dynamic management of DERs. Through the simulation of various scenarios, the system demonstrates significant improvements in load distribution, peak shaving, and voltage regulation. The framework also showcases resilience against fluctuations and anomalies, attributing to the self-learning capability of AI models that continuously refine control strategies. The adaptability of the system is evaluated in the context of grid demand-response initiatives and the integration of intermittent renewable energy sources. Overall, the results indicate a substantial advancement in the operational efficiency of power grids, highlighting the synergy between AI and energy resource management.

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Analysis of E-Glass Fiber Wheel Rim by Using ANSYS

Cited by 32 publications

References 3 publications

A Review on Enhancing Accessibility Through Image and Video Processing: Solutions for Differently Abled Individuals

A Review on Enhancing Accessibility Through Image and Video Processing: Solutions for Differently Abled Individuals

Determination of a Safety Factor of a Car Wheel Rim Using Finite Element Analysis in Solidworks

Integration of AI in Distributed Energy Resource Management for Enhanced Load Balancing and Grid Stability

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