Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel

Abstract: The constant pressure on the manufacturers to innovate and implement sustainable processes has triggered researching on machining with low carbon footprint, minimum energy consumption by machine tools, and improved products at the lowest cost—this is exactly done in this paper. Herein, the advanced cooling lubrication, i.e., nanofluid assistance, besides dry and flood cooling, during machining has been experimented, and used as the basis for sustainability assessment. This assessment is carried out in respect of surface quality and power consumption as well as the impact on environment, cost of machining, management of waste, and finally the safety and health issues of operators. For a better sustainability, a systematic optimization has been performed. In addition, the solution for an improved machinability has been proposed along with the statistically verified mathematical models of machining responses. Results showed that the nanofluid minimum quantity lubrication showed the most sustainable performance with a total weighted sustainability index 0.7, and it caused the minimum surface roughness and power consumption. The highest desirable (desirability = 0.9050) optimum results are the cutting speed of 116 m/min, depth of cut 0.25 mm, and feed rate of 0.06 mm/rev. Furthermore, a lower feed rate is suggested for better surface quality while for reduced power consumption the lower control factors are better.

Parametric optimization and process capability analysis for machining of nickel-based superalloy

Abstract: The manufacturing of parts from nickel-based superalloy, such as Inconel-800 alloy, represents a challenging task for industrial sites. Their performances can be enhanced by using a smart cutting fluid approach considered a sustainable alternative. Further, to innovate the cooling strategy, the researchers proposed an improved strategy based on the minimum quantity lubrication (MQL). It has an advantage over flood cooling because it allows better control of its parameters (i.e., compressed air, cutting fluid). In this study, the machinability of superalloy Inconel-800 has been investigated by performing different turning tests under MQL conditions, where no previous data are available. To reduce the numerous numbers of tests, a target objective was applied. This was used in combination with the response surface methodology (RSM) while assuming the cutting force input (Fc), potential of tool wear (VBmax), surface roughness (Ra), and the length of tool–chip contact (L) as responses. Thereafter, the analysis of variance (ANOVA) strategy was embedded to detect the significance of the proposed model and to understand the influence of each process parameter. To optimize other input parameters (i.e., cutting speed of machining, feed rate, and the side cutting edge angle (cutting tool angle)), two advanced optimization algorithms were introduced (i.e., particle swarm optimization (PSO) along with the teaching learning-based optimization (TLBO) approach). Both algorithms proved to be highly effective for predicting the machining responses, with the PSO being concluded as the best amongst the two. Also, a comparison amongst the cooling methods was made, and MQL was found to be a better cooling technique when compared to the dry and the flood cooling.

BlockSDN: Blockchain-as-a-Service for Software Defined Networking in Smart City Applications

Abstract: Smart cities have emerged as a hub of intelligent applications (e.g., intelligent transportation systems, smart parking, smart homes, and e-healthcare) to provide ambient-assisted living and quality of experience to wide communities of users. The smooth execution of these applications depends on reliable data transmission between various smart devices and machines. However, the exponential increase in data traffic due to the growing dependency of end users on smart city applications has created various bottlenecks (e.g., channel congestion, manual flow configurations, limited scalability, and low flexibility) on the conventional network backbone, which can degrade the performance of any designed solution in this environment. To mitigate these challenges, SDN emerges as a powerful new technology that provides global visibility of the network by decoupling the control logic from the forwarding devices. The abstraction of network services in SDN architecture provides more flexibility for network administrators to execute various applications. In SDN architecture, the decision making process is handled by a logically centralized controller, which may have a single point of failure. An adversary/ attacker can compromise the controller using different types of attacks (e.g., eavesdropping, man-in-the middle attack, and distributed denial of service) in order to gain total control of the network by updating the flow table entries at the data plane or hindering control plane operations. Therefore, to cope with the aforementioned challenges, new strategies and solutions are required for securing the SDN-enabled network architecture at different planes and their associated interconnections. In this article, various security issues and different attack vectors are discussed along with possible solutions. To mitigate various attacks, BlockSDN, a blockchain as a service framework, for SDN is proposed. The architecture of permissioned blockchain is presented followed by two attack scenarios, 1) a malware compromised switch at the data plane and 2) distributed denial of service attack at the control plane, to demonstrate the applicability of the BlockSDN framework for various future applications. Finally, the open issues and challenges with respect to the design of blockchain solutions for SDN in smart city applications are also discussed.