The present world scenario demands for the utilization of natural fiber-reinforced polymeric composites as opposed to synthetic fiber-reinforced composites mainly due to their environmental friendly behavior, availability in abundance, cost-effectiveness, and lightweight and moderately high-strength properties. Along with the above said advantages, the ease of manufacturing of natural fibers has made the researchers around the globe to exploit several locally available natural fibers to understand their feasibility as reinforcement phases in different polymeric composites and their suitability in various commercial and engineering applications. This research investigation has been conducted to discover a better natural/synthetic fiber-reinforced polymer hybrid composite for commercial engineering applications. This research investigation intends to recognize the effect of laminate stacking sequence of Prosopis juliflora fibers (PJFs)/E-glass/carbon fabrics reinforced hybrid epoxy composites under five different composite designations. Manual hand layup method is used as the fabrication method, while studies on physical, mechanical, and morphological properties have been conducted in this research work. From the results obtained, it is obvious that the properties of PJFs/E-glass/carbon fabrics reinforced epoxy composites enhanced due to the hybridization with the addition of E-glass and carbon fabrics in PJFs and augments its suitability in the use of engineering structural applications.

The continuous demands for reducing environmental impact and energy consumption are the major driving factors for the development of natural fiber (NF)-reinforced composites (NFRCs). The huge demand for sustainable materials in industries leads to the usage of NFs in product developments. These NFs are more attractive due to their lightweight, cost-effectiveness, ease of availability, and environmentally friendly aspects. Green composites are the best alternatives in place of petroleum-based composites which meet the current industrial requirements. In recent years, researchers are more focused on the development of NF composites as a potential candidate in real-life applications due to economic advantages. This review gives a brief overview of NFs introduction, types, economic aspects, and the recent developments in NFRCs with an analysis of mechanical, thermal, and dielectric properties. Moreover, the water absorption behavior, applications, and challenges in using NFs are also studied in this review. Additionally, this review will motivate the researchers for further developments and exist as foundation literature for upcoming researchers.

Poly(hydroxybutyrate-co-hydroxyvalerate) (PHBV) biocomposites different sisal, containing with the fiber length of 0.25 and 5 mm, and addition of clay particles were prepared by hot compression technique. Silane (Bis(triethoxysilylpropyl)tetrasulfide) treatment has been used to modify, and thus enhance, the properties of related hybrid composites. All composites were subject to water absorption test. The mechanical properties of hybrid composites, such as tensile stiffness and strength, toughness, and hardness, determined tensile, impact, and hardness tests, respectively. It was found that tensile strength, stiffness, and impact strength of long sisal fiber improved with increasing fiber content. Hardness of short sisal fiber improved with increasing fiber content. Treated Silane of long fibers at 20 wt.% loading was found to enhance the tensile strength fiber by 10% and impact strength by 750% as compared with the neat PHBV. Note that this feature was also confirmed by scanning electron microscopy. Moreover, the hardness and water resistance of the PHBV/sisal composites increased with the addition of

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International audienceKnowledge mining is a young and rapidly growing discipline aiming at automatically identifying valuable knowledge in digital documents. This paper presents the results of a study of the application of document retrieval and text mining techniques to extract knowledge from CIRP research papers. The target is to find out if and how such tools can help researchers to find relevant publications in a cluster of papers and increase the citation indices their own papers. Two different approaches to automatic topic identification are investigated. One is based on Latent Dirichlet Allocation of a huge document set, the other uses Wikipedia to discover significant words in papers. The study uses a combination of both approaches to propose a new approach to efficient and intelligent knowledge mining

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