scholarly journals IoT framework and requirement for intelligent industrial pyrolysis process to recycle CFRP composite wastes: application study

Author(s):  
Mehar Ullah ◽  
Sankar Karuppannan Gopalraj ◽  
Daniel Gutierrez Rojas ◽  
Pedro Nardelli ◽  
Timo Karki

In this study we have focused of using Internet of Things in Carbon fiber recycling method called Pyrolysis process and how to select a suitable IoT platform for it.

2021 ◽  
Author(s):  
Mehar Ullah ◽  
Daniel Gutierrez Rojas ◽  
Sankar Karuppannan Gopalraj ◽  
Pedro Nardelli ◽  
Timo Karki

In this study we have focused of using Internet of Things in Carbon fiber recycling method called Pyrolysis process and how to select a suitable IoT platform for it.


2021 ◽  
Author(s):  
Mehar Ullah ◽  
Daniel Gutierrez Rojas ◽  
Sankar Karuppannan Gopalraj ◽  
Pedro Nardelli ◽  
Timo Karki

In this study we have focused of using Internet of Things in Carbon fiber recycling method called Pyrolysis process and how to select a suitable IoT platform for it.


2021 ◽  
Vol 11 (7) ◽  
pp. 354
Author(s):  
Waleed Ahmed ◽  
Essam Zaneldin ◽  
Amged Al Hassan

With the rapid growth in the manufacturing industry and increased urbanization, higher amounts of composite material waste are being produced, causing severe threats to the environment. These environmental concerns, coupled with the fact that undergraduate students typically have minimal experience in research, have initiated the need at the UAE University to promote research among undergraduate students, leading to the development of a summer undergraduate research program. In this study, a recycling methodology is presented to test lab-fabricated Carbon-Fiber-Reinforced Polymer (CFRP) for potential applications in industrial composite waste. The work was conducted by two groups of undergraduate students at the UAE University. The methodology involved the chemical dissolution of the composite waste, followed by compression molding and adequate heat treatment for rapid curing of CFRP. Subsequently, the CFRP samples were divided into three groups based on their geometrical distinctions. The mechanical properties (i.e., modulus of elasticity and compressive strength) were determined through material testing, and the results were then compared with steel for prompt reference. The results revealed that the values of mechanical properties range from 2 to 4.3 GPa for the modulus of elasticity and from 203.7 to 301.5 MPa for the compressive strength. These values are considered competitive and optimal, and as such, carbon fiber waste can be used as an alternate material for various structural applications. The inconsistencies in the values are due to discrepancies in the procedure as a result of the lack of specialized equipment for handling CFRP waste material. The study concluded that the properties of CFRP composite prepreg scrap tend to be reusable instead of disposable. Despite the meager experimental discrepancies, test values and mechanical properties indicate that CFRP composite can be successfully used as a material for nonstructural applications.


2012 ◽  
Vol 531-532 ◽  
pp. 135-140 ◽  
Author(s):  
Yu Di Zhang ◽  
Hai Feng Hu ◽  
Chang Rui Zhang ◽  
Guang De Li

C/SiC composites have widely application prospects in the field of aeronautic and aerospace for their excellent properties. The joining of C/SiC composites is a key to fabricate large and complex components. In this paper, 1D C/SiC pins were prepared by precursor infiltration and pyrolysis (PIP) process and used to join C/SiC composites by Slurry react (SR) and PIP process. The shear strength of the C/SiC pins with different carbon fiber volumes was investigated with the maximum shear strength as high as 339.46MPa. Influences of C/SiC pins on the joining properties of C/SiC composites were studied. The shear strength and flexural strength of C/SiC-C/SiC joining are improved from 9.17MPa and 30.41MPa without pins to 20.06MPa and 75.03MPa with one C/SiC pin (diameter 2mm), respectively. The reliability of C/SiC-C/SiC joining is also improved with C/SiC pins in that the fracture mode changes from catastrophic without pins to non-catastrophic. The SEM photos show a strong bond between joining layer and C/SiC composites without obvious interface.


Internet of things (IoT) is an emerging concept which aims to connect billions of devices with each other anytime regardless of their location. Sadly, these IoT devices do not have enough computing resources to process huge amount of data. Therefore, Cloud computing is relied on to provide these resources. However, cloud computing based architecture fails in applications that demand very low and predictable latency, therefore the need for fog computing which is a new paradigm that is regarded as an extension of cloud computing to provide services between end users and the cloud user. Unfortunately, Fog-IoT is confronted with various security and privacy risks and prone to several cyberattacks which is a serious challenge. The purpose of this work is to present security and privacy threats towards Fog-IoT platform and discuss the security and privacy requirements in fog computing. We then proceed to propose an Intrusion Detection System (IDS) model using Standard Deep Neural Network's Back Propagation algorithm (BPDNN) to mitigate intrusions that attack Fog-IoT platform. The experimental Dataset for the proposed model is obtained from the Canadian Institute for Cybersecurity 2017 Dataset. Each instance of the attack in the dataset is separated into separate files, which are DoS (Denial of Service), DDoS (Distributed Denial of Service), Web Attack, Brute Force FTP, Brute Force SSH, Heartbleed, Infiltration and Botnet (Bot Network) Attack. The proposed model is trained using a 3-layer BP-DNN


2021 ◽  
Author(s):  
JAKUB SYCHLA ◽  
CHAO ZHANG ◽  
K. T. TAN

Additive manufacturing of carbon fiber reinforced polymers (CFRP) provides the advantage of quick prototyping of complex geometries, while maintaining light-weight characteristics and keeping structural integrity. This paper presents flexural strength data from 3D printing of an onyx and carbon fiber composites. A MarkForged Mark 2 3D printer, with a dual printer head, is used to 3D print several configurations of CFRP composites. The configurations are set to examine the extreme parameters of the rectangular fill pattern, including fill density, roof and floor layers, and wall layers. The print angle along with the fill pattern stays consistent. Each sample comprises twenty- four layers of CFRP and undergoes a three-point bend test. Test data of load, deflection, and maximum stress are compared among the different configurations. Results show that the roof/floor layer has the largest impact on the flexural strength for each configuration. The configurations with less roof/floor layers are able to take on a larger load, because there are more CFRP layers present; while specimens with more roof/floor layers withstand less load and behave more ductile. These results show that the amount of roof/floor layers can change the CFRP composite from its usual brittle characteristic to a ductile behavior.


2020 ◽  
Author(s):  
Tanweer Alam ◽  
Mohamed Benaida

Building the innovative blockchain-based architecture across the Internet of Things (IoT) platform for the education system could be an enticing mechanism to boost communication efficiency within the 5 G network. Wireless networking would have been the main research area allowing people to communicate without using the wires. It was established at the start of the Internet by retrieving the web pages to connect from one computer to another computer Moreover, high-speed, intelligent, powerful networks with numerous contemporary technologies, such as low power consumption, and so on, appear to be available in today's world to connect among each other. The extension of fog features on physical things under IoT is allowed in this situation. One of the complex tasks throughout the area of mobile communications would be to design a new virtualization framework based on blockchain across the Internet of Things architecture. The goal of this research is to connect a new study for an educational system that contains Blockchain to the internet of things or keeping things cryptographically secure on the internet. This research combines with its improved blockchain and IoT to create an efficient interaction system between students, teachers, employers, developers, facilitators and accreditors on the Internet. This specified framework is detailed research's great estimation.


2021 ◽  
Vol 17 (1) ◽  
pp. 85-105
Author(s):  
Hany Abdelghaffar ◽  
Mohamed Abousteit

To deliver more value to customers, companies are striving to offer more digital services, and the internet of things (IOT) is the main enabler to maximize such value. However, one of the major challenges companies are facing is digital service integration with other providers, where IoT platform is playing important role to achieve such integration opening door for interoperability within actors in the IoT ecosystem. There have been a little research addressing IoT platforms interoperability from business value perspective, considering technical and non-technical factors as selection criteria to adopt such platforms. This paper uses a case study as a method. To validate the suggested interoperability criteria, interviews were conducted for IoT platform providers and two things providers. It was observed that considering technical factors alone when selecting IoT platform make companies oversee the value technology add to their business as IoT platform is not only about technology but also about business model in which this platform will be operating and the company position and role in IoT ecosystem. The paper contributes by providing criteria to achieve interoperability for IoT platform from both technical and business aspects.


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