Refine Your Search

Search Results

Viewing 1 to 4 of 4
Technical Paper

Mechanical Properties of Polymeric Composite Reinforced by Chopped and Continuous Sisal Fibers

2016-10-25
2016-36-0389
The use of natural materials from renewable sources has several advantages when compared with non-renewable materials. Among these, there are vegetable fibers and sisal fibers that highlight for its wide application. Natural fibers appear as an alternative reinforcement to synthetic fibers, reducing costs and showing results close to synthetic fibers. The use of fibers is still growing slowly, but is already used in internal components of popular cars, elevator aircraft and structural components of the shipbuilding industry. In this article were produced composites reinforced by sisal fibers under two conditions: in a form of chopped fiber at a random disposition, and long and aligned fibers. In the first condition, sisal fibers were chopped in a granulator mill with length varying between 5mm to 15mm and randomly arranged in the polymeric matrix. In the second condition, the sisal fibers were arranged in an orderly manner and aligned in one-way direction.
Technical Paper

Effect of Aging on Water, Salt Water and Lubricant at Polyester Matrix Natural Fiber Composites

2016-10-25
2016-36-0538
Composite materials are alternative materials that come rising fast at last decades. With a view to the use of lighter and stronger materials that can replace ferrous materials, arise composites reinforced by synthetic fibers. Moreover, natural fibers emerge as an alternative reinforcement for the synthetic fibers because they are costly. Thus the present study aims to evaluate the behavior of particulate composite reinforced by sisal fibers in the size of 15 mm emerged in fluids such as water, salt water, and lubricating oil. The specimens were made according to ASTM D638M and aging it period of sixty days. After two months, the specimens were subjected to tensile tests, and determined the tensile strength results and deformation of the maximum load and the modulus of elasticity. In general, it was observed a reduction in tensile strength of the particulate sisal composite when immersed into the lubricant oil.
Technical Paper

Laminated Composite of Sisal and Curaua Fibers to Different Settings for Use in Bumper Cars

2013-10-07
2013-36-0603
The use of composite materials reinforced with natural fibers has been widely studied in recent research seen the availability of feedstock and mainly because the productions facility, low cost and because they are biodegradable. In order to expand the applications of composite materials, this paper proposed to develop hybrid laminar composites associating natural fibers as jute, sisal and curaua in an array of type resin polyester and compare them with commercial bumpers available on the market. The sisal and curaua fibers were manually cut into lengths of 50 mm and then were arranged and incorporated separately with the polyester resin and the jute fiber cut, as a blanket in length 400 × 400 mm2 adopting for that a simple and manual manufacture process. Finally, it was executed a tensile test in hybrid laminated, and then a comparative study of tensile properties of different laminated hybrid composites, jute-sisal, jute-curaua and between the results of the commercial bumpers.
Technical Paper

A design methodology to employ digital twins for remaining useful lifetime prediction in electric vehicle batteries

2024-01-08
2023-36-0132
Predictive maintenance plays a crucial role in the context of Industry 4.0, and the adoption of Digital Twin methodologies has emerged as a promising approach for predicting the remaining useful lifetime of assets, particularly after a fault is identified. However, there is a lack of understanding regarding how to effectively apply digital twins for prognosis purposes, including estimating confidence intervals and identifying root causes of faults. To address this gap, this paper presents a methodology based on a comprehensive literature review, aiming to provide a systematic approach for predicting the remaining useful lifetime of assets. The proposed methodology encompasses several steps. It starts with data collection from physical assets or relevant databases, followed by modeling the asset’s behavior using dynamic equations. Machine learning algorithms are then applied to predict the asset’s final state in response to corrective actions.
X