Search results

1 – 10 of 177
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 1 March 2006

M. Abdallah, A.Y. El‐Etre, M.G. Soliman and E.M. Mabrouk

To study the effects of the sodium salts of molybdate, tungstate and monovanadate as well as some derivatives of Neville‐Winter acid azo dyes on the corrosion of carbon steel in…

1723

Abstract

Purpose

To study the effects of the sodium salts of molybdate, tungstate and monovanadate as well as some derivatives of Neville‐Winter acid azo dyes on the corrosion of carbon steel in 3.5 percent NaCl solution.

Design/methodology/approach

Open circuit potential measurement and potentiostatic polarization techniques have been used.

Findings

It was found that all the compounds had inhibition effects on carbon steel dissolution. Inhibition efficiency (IE) increased with increase in inhibitor concentration. The process of inhibition was attributed to the formation of an adsorbed film on the metal surface, which protects the metal against the corrosive medium. The adsorption of these compounds on the steel/chloride interface was found to follow Freundlich adsorption isotherm behaviour.

Originality/value

Proves the effectiveness of the sodium salts of molybdate, tungstate and monovanadate as well as some derivatives of Neville‐Winter acid azo dyes on the corrosion of carbon steel in 3.5 percent NaCl solution.

Details

Anti-Corrosion Methods and Materials, vol. 53 no. 2
Type: Research Article
ISSN: 0003-5599

Keywords

Access Restricted. View access options
Article
Publication date: 17 April 2023

Uchenna Luvia Ezeamaku, Innocent Eze, Nkiru Odimegwu, Angela Nwakaudu, Amarachukwu Okafor, Okechukwu Dominic Onukwuli and Ikechukwu Abuchi Nnanwube

The purpose of this study is to investigate starch mucor (SM) in potassium iodide (KI) as corrosion inhibitor of aluminium in hydrochloric acid (HCl) medium.

67

Abstract

Purpose

The purpose of this study is to investigate starch mucor (SM) in potassium iodide (KI) as corrosion inhibitor of aluminium in hydrochloric acid (HCl) medium.

Design/methodology/approach

The SM in KI was characterized by gravimetric, scanning electron microscopy, electrochemical impedance spectroscopy measurements, potentiodynamic polarization and gas chromatography-mass spectrometer techniques. The inhibition efficiency was optimized using response surface methodology.

Findings

The result revealed that the inhibitor inhibited corrosion at a low concentration with the rate of inhibition increasing as the concentration of the inhibitor increased. The inhibition efficiency increases as the temperature was increased with slight incorporation of the inhibitor (SM in KI). This indicates that the corrosion control is both inhibitor (SM in KI) and temperature dependent.

Originality/value

The research results can provide the basis for using SM in KI as corrosion inhibitor of aluminium in HCL medium. Mixed-type inhibitor nature of SM was proved by cathodic and anodic nature of the polarization curves.

Details

Pigment & Resin Technology, vol. 53 no. 6
Type: Research Article
ISSN: 0369-9420

Keywords

Access Restricted. View access options
Book part
Publication date: 28 October 2024

Miltiadis D. Lytras, Andreea Claudia Serban, Afnan Alkhaldi, Tahani Aldosemani and Sawsan Malik

Digital transformation (DT) has become a top priority for higher education (HE), driven by technological advances such as artificial intelligence (AI), artificial general…

Abstract

Digital transformation (DT) has become a top priority for higher education (HE), driven by technological advances such as artificial intelligence (AI), artificial general intelligence (AGI) and Generative Open AI. It serves as a catalyst for the reshaping of mainstream processes in academic institutions, emphasizing teamwork, collaborative projects and critical thinking in research, learning and assessment strategies. In this chapter, the authors contextualize the use of this DT, highlighting its potential to improve learning experiences, business efficiency and upskill students and faculty. The holistic approach to DT as an enabler of excellence in HE is based on four pillars of excellence and impact: Business process reengineering, learning excellence and skill building, research capacity and innovation and partnership and outlook. DT needs the development of efficient, resilient, flexible and adaptable strategies and a strong collaboration between all the actors involved in the process to ensure the coherence, the sustainability and alignment of the objectives, means and targets with the real needs of the learners, tutors, labor market and society as whole. The authors’ bold proposition consists of a model for the strategy design of DT in universities and colleges organized in three dimensions: understand, strategize, deploy and exploit. Each dimension emphasizes different stages of the process: understanding emerging technologies and their impact on HE, collaboration between stakeholders, strategy and priorities formulation, roadmap of implementation, deployment and exploitation of digital technologies, etc. The ongoing DT in HE will continue to create an extensive shift in educational processes – learning, teaching, research and management. Institutions around the world are taking bold initiatives to adapt to this rapidly changing environment, emphasizing the importance of readiness for technological changes, system development, inclusive and sustainable transformation.

Details

Digital Transformation in Higher Education, Part A
Type: Book
ISBN: 978-1-83549-480-6

Keywords

Access Restricted. View access options
Article
Publication date: 2 April 2024

R.S. Vignesh and M. Monica Subashini

An abundance of techniques has been presented so forth for waste classification but, they deliver inefficient results with low accuracy. Their achievement on various repositories…

40

Abstract

Purpose

An abundance of techniques has been presented so forth for waste classification but, they deliver inefficient results with low accuracy. Their achievement on various repositories is different and also, there is insufficiency of high-scale databases for training. The purpose of the study is to provide high security.

Design/methodology/approach

In this research, optimization-assisted federated learning (FL) is introduced for thermoplastic waste segregation and classification. The deep learning (DL) network trained by Archimedes Henry gas solubility optimization (AHGSO) is used for the classification of plastic and resin types. The deep quantum neural networks (DQNN) is used for first-level classification and the deep max-out network (DMN) is employed for second-level classification. This developed AHGSO is obtained by blending the features of Archimedes optimization algorithm (AOA) and Henry gas solubility optimization (HGSO). The entities included in this approach are nodes and servers. Local training is carried out depending on local data and updations to the server are performed. Then, the model is aggregated at the server. Thereafter, each node downloads the global model and the update training is executed depending on the downloaded global and the local model till it achieves the satisfied condition. Finally, local update and aggregation at the server is altered based on the average method. The Data tag suite (DATS_2022) dataset is used for multilevel thermoplastic waste segregation and classification.

Findings

By using the DQNN in first-level classification the designed optimization-assisted FL has gained an accuracy of 0.930, mean average precision (MAP) of 0.933, false positive rate (FPR) of 0.213, loss function of 0.211, mean square error (MSE) of 0.328 and root mean square error (RMSE) of 0.572. In the second level classification, by using DMN the accuracy, MAP, FPR, loss function, MSE and RMSE are 0.932, 0.935, 0.093, 0.068, 0.303 and 0.551.

Originality/value

The multilevel thermoplastic waste segregation and classification using the proposed model is accurate and improves the effectiveness of the classification.

Access Restricted. View access options
Article
Publication date: 14 June 2024

Yaser Sadati-Keneti, Mohammad Vahid Sebt, Reza Tavakkoli-Moghaddam, Armand Baboli and Misagh Rahbari

Although the previous generations of the Industrial Revolution have brought many advantages to human life, scientists have been looking for a substantial breakthrough in creating…

55

Abstract

Purpose

Although the previous generations of the Industrial Revolution have brought many advantages to human life, scientists have been looking for a substantial breakthrough in creating technologies that can improve the quality of human life. Nowadays, we can make our factories smarter using new concepts and tools like real-time self-optimization. This study aims to take a step towards implementing key features of smart manufacturing including  preventive self-maintenance, self-scheduling and real-time decision-making.

Design/methodology/approach

A new bi-objective mathematical model based on Industry 4.0 to schedule received customer orders, which minimizes both the total earliness and tardiness of orders and the probability of machine failure in smart manufacturing, was presented. Moreover, four meta-heuristics, namely, the multi-objective Archimedes optimization algorithm (MOAOA), NSGA-III, multi-objective simulated annealing (MOSA) and hybrid multi-objective Archimedes optimization algorithm and non-dominated sorting genetic algorithm-III (HMOAOANSGA-III) were implemented to solve the problem. To compare the performance of meta-heuristics, some examples and metrics were presumed and solved by using the algorithms, and the performance and validation of meta-heuristics were analyzed.

Findings

The results of the procedure and a mathematical model based on Industry 4.0 policies showed that a machine performed the self-optimizing process of production scheduling and followed a preventive self-maintenance policy in real-time situations. The results of TOPSIS showed that the performances of the HMOAOANSGA-III were better in most problems. Moreover, the performance of the MOSA outweighed the performance of the MOAOA, NSGA-III and HMOAOANSGA-III if we only considered the computational times of algorithms. However, the convergence of solutions associated with the MOAOA and HMOAOANSGA-III was better than those of the NSGA-III and MOSA.

Originality/value

In this study, a scheduling model considering a kind of Industry 4.0 policy was defined, and a novel approach was presented, thereby performing the preventive self-maintenance and self-scheduling by every single machine. This new approach was introduced to integrate the order scheduling system using a real-time decision-making method. A new multi-objective meta-heuristic algorithm, namely, HMOAOANSGA-III, was proposed. Moreover, the crowding-distance-quality-based approach was presented to identify the best solution from the frontier, and in addition to improving the crowding-distance approach, the quality of the solutions was also considered.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Access Restricted. View access options
Article
Publication date: 24 September 2024

Chenyang Sun and Mohammad Khishe

The purpose of the study is to address concerns regarding the subjectivity and imprecision of decision-making in table tennis refereeing by developing and enhancing a sensor node…

19

Abstract

Purpose

The purpose of the study is to address concerns regarding the subjectivity and imprecision of decision-making in table tennis refereeing by developing and enhancing a sensor node system. This system is designed to accurately detect the points on the table tennis table where balls collide. The study introduces the twined-reinforcement chimp optimization (TRCO) framework, which combines two novel approaches to optimize the distribution of sensor nodes. The main goal is to reduce the number of sensor units required while maintaining high accuracy in determining the locations of ball collisions, with error margins significantly below the critical 3.5 mm cutoff. Through complex optimization procedures, the study aims to improve the efficiency and reliability of decision-making in table tennis refereeing by leveraging sensor technology.

Design/methodology/approach

The study employs a design methodology focused on developing a sensor array system to enhance decision-making in table tennis refereeing. It introduces the twined-reinforcement chimp optimization (TRCO) framework, combining dual adaptive weighting strategies and a stochastic approach for optimization. By meticulously engineering the sensor array and utilizing complex optimization procedures, the study aims to improve the accuracy of detecting ball collisions on the table tennis table. The methodology aims to reduce the number of sensor units required while maintaining high precision, ultimately enhancing the reliability of decision-making in the sport.

Findings

The optimization research study yielded promising outcomes, showcasing a substantial reduction in the number of sensor units required from the initial count of 60 to a more practical 49. The sensor array system demonstrated excellent accuracy in identifying the locations of ball collisions, with error margins significantly below the critical 3.5 mm cutoff. Through the implementation of the twined-reinforcement chimp optimization (TRCO) framework, which integrates dual adaptive weighting strategies and a stochastic approach, the study achieved its goal of enhancing the efficiency and reliability of decision-making in table tennis refereeing.

Originality/value

This study introduces novel contributions to the field of table tennis refereeing by pioneering the development and optimization of a sensor array system. The innovative twined-reinforcement chimp optimization (TRCO) framework, integrating dual adaptive weighting strategies and a stochastic approach, sets a new standard for sensor node distribution in sports technology. By substantially reducing the number of sensor units required while maintaining high accuracy in detecting ball collisions, this research offers practical solutions to address the inherent subjectivity and imprecision in decision-making processes. The study’s originality lies in its meticulous design methodology and complex optimization procedures, offering significant value to the field of sports technology and officiating.

Details

Engineering Computations, vol. 41 no. 8/9
Type: Research Article
ISSN: 0264-4401

Keywords

Access Restricted. View access options
Article
Publication date: 4 January 2013

Ayssar Nahlé, Maysoon Al‐Khayat, Ideisan Abu‐Abdoun and Ibrahim Abdel‐Rahman

The purpose of this paper is to study electrochemically and by weight loss experiments the effect of P,P′‐Bis (triphenylphosphonio) methyl benzophenone dibromide (TPPMB) on the…

209

Abstract

Purpose

The purpose of this paper is to study electrochemically and by weight loss experiments the effect of P,P′‐Bis (triphenylphosphonio) methyl benzophenone dibromide (TPPMB) on the corrosion inhibition of mild steel in 1.0M HCl solution, which will serve researchers in the field of corrosion.

Design/methodology/approach

Weight loss measurements were carried out on mild steel specimens in 1.0M HCl and in 1.0M HCl containing various concentrations (2×10−8M and 2×10−5M) of the laboratory synthesized TPPMB at temperatures ranging from 303 to 343 K.

Findings

TPPMB was found to be a highly efficient inhibitor for mild steel in 1.0M HCl solution, reaching about 98% at the concentration of 2×10−5M at 303 K, a concentration and temperature considered to be very moderate. The percentage of inhibition in the presence of this inhibitor was decreased with temperature which indicates that physical adsorption was the predominant inhibition mechanism because the quantity of adsorbed inhibitor decreases with increasing temperature.

Practical implications

This inhibitor could have application in industries, where hydrochloric acid solutions at elevated temperatures are used to remove scale and salts from steel surfaces, such as acid cleaning of tankage and pipeline, and may render dismantling unnecessary.

Originality/value

This paper is intended to be added to the family of phosphonium salt corrosion inhibitors which are highly efficient and can be employed in the area of corrosion prevention and control.

Details

Anti-Corrosion Methods and Materials, vol. 60 no. 1
Type: Research Article
ISSN: 0003-5599

Keywords

Access Restricted. View access options
Article
Publication date: 29 April 2014

Innocent Okechi Arukalam, Innocent Chimezie Madufor, Okoro Ogbobe and Emeka E. Oguzie

– The paper aims to investigate the effectiveness of hydroxypropyl methylcellulose (HPMC) as corrosion inhibitor for aluminium in 0.5 M H2SO4 solution.

285

Abstract

Purpose

The paper aims to investigate the effectiveness of hydroxypropyl methylcellulose (HPMC) as corrosion inhibitor for aluminium in 0.5 M H2SO4 solution.

Design/methodology/approach

This study was carried out using weight loss and electrochemical techniques. Inhibition efficiency was determined by comparing the corrosion rates in the absence and presence of inhibitor system. Quantum chemical computations were performed using density functional theory to assess the parameters responsible for the inhibition process and also to analyse the local reactivity of the molecule.

Findings

HPMC inhibited aluminium corrosion in the acidic environment. The inhibition efficiency was found to depend on concentration of the inhibitor. Impedance results reveal that HPMC is adsorbed on the corroding metal surface. Polarization results show that the dissolution reaction is due to destabilization of the passive oxide film on the Al surface. Adsorption of the inhibitor is approximated by Freundlich adsorption isotherm and the calculated standard free energy of adsorption indicates weak physical interaction between the inhibitor molecules and aluminium surface. This can be attributed to preferential interaction of the active sites with the passive oxide layer. The calculated quantum chemical parameters show good correlation with the inhibition efficiency.

Practical implications

HPMC could find possible application as a polymeric thickener and additive to improve corrosion resistance and barrier properties of anticorrosion paints.

Originality/value

This paper provides novel information on the inhibitive characteristics of HPMC under the stated conditions. The inhibitor systems provide an effective means for suppressing aluminium corrosion even in highly aggressive acidic environments.

Details

Pigment & Resin Technology, vol. 43 no. 3
Type: Research Article
ISSN: 0369-9420

Keywords

Access Restricted. View access options
Article
Publication date: 13 March 2019

Altaf Ahmad, Ranveer Kumar and Anil Kumar

This paper aims to identify an inhibitor to protect rebar corrosion in concrete.

211

Abstract

Purpose

This paper aims to identify an inhibitor to protect rebar corrosion in concrete.

Design/methodology/approach

The authors use the simple method of polarization and calculate the change in open-circuit potential and corrosion current density.

Findings

Sodium molybdate is an efficient inhibitor compared with sodium tungstate for rebar corrosion in concrete.

Research limitations/implications

This paper has limitation of 0.0001 M concentration of inhibitors for 400 days of exposure in 3.5 per cent sodium chloride solution.

Originality/value

The research focused on the concentration of both inhibitors in the range from 0.1 to 0.0001 M, which resulted in greater structural protection from corrosion in adverse conditions, such as coastal areas.

Details

Anti-Corrosion Methods and Materials, vol. 66 no. 3
Type: Research Article
ISSN: 0003-5599

Keywords

Access Restricted. View access options
Article
Publication date: 3 July 2007

Ayssar Nahlé, Ideisan Abu‐Abdoun and Ibrahim Abdel‐Rahman

To provide a novel synthesized stilbazole derivative as a corrosion inhibitor for researchers in the field of corrosion science.

555

Abstract

Purpose

To provide a novel synthesized stilbazole derivative as a corrosion inhibitor for researchers in the field of corrosion science.

Design/methodology/approach

Electrochemical corrosion measurements (tafel plots) were carried out in a 3‐electrode electrochemical cell on the mild steel electrode in 1.0 M HCl and in 1.0 M HCl containing various concentrations (1.0 × 10−7 M to 1.0 × 10−3 M) of the laboratory synthesized trans‐4‐hydroxy‐4'‐stilbazole.

Findings

The percentage inhibition of trans‐4‐hydroxy‐4'‐stilbazole on mild steel in 1 M HCl solution increased with the increase of concentration of that inhibitor. This percentage inhibition steeply increased from 10.11 percent (at 1.0 × 10−7 M) to 30.34 percent at 1.0 × 10−6 M. The slope of this increase slightly decreased at the concentration of 1.0 × 10−5 M to reach 39.61 percent. At higher concentrations, the increase of the percentage inhibition was steeper than the initial part, and reached 97.92 percent at 1.0 × 10−3 M.

Practical implications

This inhibitor could have application in industries, where hydrochloric acid solutions are used to remove scale and salts from steel surfaces, such as acid cleaning of tankage and pipeline and may render dismantling unnecessary.

Originality/value

This paper is intended to be the building block or the nucleus for a new family or group of stilbazole derivatives in electrochemical studies of corrosion inhibitors.

Details

Anti-Corrosion Methods and Materials, vol. 54 no. 4
Type: Research Article
ISSN: 0003-5599

Keywords

1 – 10 of 177
Per page
102050