bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of hybrid aluminum composites wear using Taguchi method and artificial neural network
Authors: Stojanovic Blaza , Blagojevic Jasmina , Babic Miroslav , Velickovic Sandra , Miladinovic Slavica 
Published: October 2017

Purpose
This research aims to describe the influence of weight per cent of graphite (Gr), applied load and sliding speed on the wear behavior of aluminum (Al) alloy A356 reinforced with silicon carbide (SiC) (10 Wt.%) and Gr (1 Wt.% and 5 Wt.%) particles. The objective is to analyze the effect of the aforementioned parameters on a specific wear rate.

Design/methodology/approach
These hybrid composites are obtained by means of the compo-casting process. Tribological analyses were conducted on block-on-disc tribometer at three different loads (10, 20 and 30 N) and three different sliding speeds (0.25, 0.5 and 1 m/s), at the sliding distance of 900 m, in dry sliding wear conditions. Optimization of the tribological behavior was conducted via the Taguchi method, and ANOVA was used for the analysis of the specific wear rate. Confirmation tests are used to foresee and check the experimental results. Examined samples were analyzed via a scanning electron microscope (SEM). Regression models for predicting specific wear rate were developed with Taguchi and ANN (artificial neural network) methods.

Findings
The biggest impact on value of specific wear rate has the load (43.006%), while the impact of Wt.% Gr (31.514%) was less. After comparison of the results, i.e. regression models, for predicting the specific wear rate, it was observed that ANN was more efficient than the Taguchi method. The specific wear rate of Al alloy A356 with SiC (10 Wt.%) and Gr (1 Wt.% and 5 Wt.%) decreases with a decrease in the load and weight per cent of Gr-reinforcing material, as well as with a decrease in sliding speed.

Originality/value
The results obtained in this paper using the Taguchi method and the ANN method are useful for improving and further investigating the wear behavior of the SiC- and Gr-reinforced Al alloy A356.
Low friction of phytic acid as a water-based lubricant additive
Authors: Wan Yong , Yu Yankun , Gao Shuai , Gao Jianguo 
Published: October 2017

Purpose
The purpose of this paper is to evaluate naturally occurring phytic acid (PA) as a green-water-based lubricant.

Design/methodology/approach
Lubrication is studied using a ball-on-disk tribometer with silica glass against silicon nitride contact, and the friction coefficient and wear are measured in the boundary lubrication regimes.

Findings
Excellent lubrication performance was found by using PA aqueous solutions. After the running-in process, the sliding coefficient of friction could drop to as low as 0.01 with a quite low concentration of 7.5 × 10−4 M. The lubricating performance of PA solution could be further improved by increasing PA concentration. The work suggests that the excellent lubricity of PA in aqueous solution can be mostly contributed to its adsorption on the silica surface.

Originality/value
The paper shows that the natural products could be used as water-based lubricant additives.
Behaviour of two-lobe hole-entry hybrid journal bearing system under the combined influence of textured surface and micropolar lubricant
Authors: Khatri Chandra B. , Sharma Satish C. 
Published: October 2017

Purpose
The aim of the present paper is to study the combined influence of textured surface and micropolar lubricant behaviour on the performance of two-lobe hole-entry hybrid journal bearing system. The bearing performance parameters of the textured circular/two-lobe hole-entry hybrid journal bearing system have been computed against the constant vertical external load supported by the bearing.

Design/methodology/approach
In this work, Eringen’s micropolar fluid theory has been used to derive the governing Reynolds equation. The consequent solution of the governing Reynolds equation has been obtained by using finite element method (FEM) numerical technique.

Findings
The present study indicates that the use of the textured surface, two-lobe profile of bearing and micropolar lubricant, significantly enhances the bearing performance as compared to non-textured circular journal bearing.

Originality/value
The present study concerning the influence of surface texturing on the behaviour of the two-lobe hole-entry hybrid journal bearing lubricated with micropolar lubricant is original. The theoretically simulated results of the present study will be useful to design an efficient journal bearing system.
Effect of chromium content on cementite – pearlite interaction of white cast iron during three-body abrasive wear
Authors: Zheng Baochao , Huang Zhifu , Xing Jiandong , Xiao Yiyang , Xiao Fan 
Published: October 2017

Purpose
This paper aims to demonstrate the effect of varying chromium content on the wear behavior of white cast iron, to study the interaction relationship between cementite and pearlite in white cast iron, while estimating their contribution rate in abrasive wear.

Design/methodology/approach
To study interaction of cementite-pearlite of white cast irons with different chromium content in three-body abrasive wear, three kinds of chromium white cast iron, bulk single-phase cementite, pure pearlite samples and the white cast iron (WCI), were prepared using the melting and casting technique. The so-called pure pearlite samples have the same chemical composition, microstructure and properties as the pearlite matrix in white cast iron.

Findings
Results indicated that the interaction has a negative value. Its absolute value decreased with increasing chromium addition. Meanwhile, a high load resulted in an increased interaction value. The contribution rate of cementite to interaction, which was higher than that of pearlite, increased with increasing chromium addition. This indicated cementite was a main phase. Besides, the reductive size of abrasive has a significant effect on the contribution rate at the high load. These prominent cementite occurred fracture, when small size abrasive indented the matrix. These result in the absence of a protective effect of cementite during wear process. Eventually, the contribution rate of cementite decreased significantly.

Originality/value
This paper demonstrates the effect of varying chromium content on wear behavior of white cast iron, to study the interaction relationship between cementite and pearlite in white cast iron while estimating their contribution rate in abrasive wear.
Tribological properties of hydrogen free DLC in self-mated contacts against ZDDP-added oil
Authors: Mannan Abdul , Mohd Sabri Mohd Faizul , Kalam M.A. , Masjuki H.H. 
Published: October 2017

Purpose
The purpose of this study is to investigate the tribological properties of tetrahedral diamond-like carbon (DLC) films in self-mated contacts in the presence of additivated and non-additivated vegetable oils. DLC films have high practical value due to low friction and low wear properties. On the other hand, vegetable oils are considered to be lubricants for future due to its resource renewability and biodegradability. Sometimes different chemical agents are added to vegetable oils to further improve its tribological properties. Thus, the tribological study of DLC films against additivated oils becomes important.

Design/methodology/approach
The tribology tests were conducted in a four ball tribo-meter under the boundary lubricated conditions.

Findings
Ta-C DLC exhibited 80 per cent lower wear rate under Zinc dialkyldithiophosphates (ZDDP)-added oil compared to that of base oil. In contrast, the friction coefficient under additivated oil was slightly higher than the base oil lubricated case. Moreover, the carbonyl band area as well as the viscosity change of ZDDP-added oil was much smaller than that of base oil. Therefore, ZDDP reduced the wear of DLC film and prevented the oxidation of base oil during tribotests.

Originality/value
This is the first work on the tribological properties of ta-C DLC lubricated with corn oil with and without anti-wear additives.
Feature extraction of rolling bearing fault signal based on local mean decomposition and Teager energy operator
Authors: Cai Jianhua 
Published: October 2017

Purpose
This paper aims to explore a new way to extract the fault feature of a rolling bearing signal on the basis of a combinatorial method.

Design/methodology/approach
By combining local mean decomposition (LMD) with Teager energy operator, a new feature-extraction method of a rolling bearing fault signal was proposed, called the LMD–Teager transform method. The principles and steps of method are presented, and the physical meaning of the time–frequency power spectrum and marginal spectrum is discussed. On the basis of comparison with the fast Fourier transform method, a simulated non-stationary signal was processed to verify the effect of the new method. Meanwhile, an analysis was conducted by using the recorded vibration signals which include inner race, out race and bearing ball fault signal.

Findings
The results show that the proposed method is more suitable for the non-stationary fault signal because the LMD–Teager transform method breaks through the difficulty of the Fourier transform method that can process only the stationary signal. The new method can extract more useful information and can provide better analysis accuracy and resolution compared with the traditional Fourier method.

Originality/value
Combining the advantage of the local mean decomposition and the Teager energy operator, the LMD–Teager method suits the nature of the fault signal. A marginal spectrum obtained from the LMD–Teager method minimizes the estimation bias brought about by the non-stationarity of the fault signal. So, the LMD–Teager transform has better analysis accuracy and resolution than the traditional Fourier method, which provides a good alternative for fault diagnosis of the rolling bearing.
Fabrication of Al/Babbitt surface bearing through friction stir processing
Authors: Arab Seyed Mohammad , Hosseini Zeidabadi Seyed Reza , Jenabali Jahromi Seyed Ahmad , Daneshmanesh Habib , Zebarjad Seyed Mojtaba , Janghorban Kamal 
Published: October 2017

Purpose
A self-lubricant surface composite including Al matrix and Babbitt alloy 11 reinforcement has been fabricated via friction stir processing (FSP).

Design/methodology/approach
The optimum processing condition is estimated by statistical analysis of a L9 Taguchi design of experiment. The results of Taguchi analysis suggested four passes of FSP, traverse speed of 40 mm/min and rotational speeds of 1,250 rpm as the optimum parameters to achieve higher hardness and wear resistance.

Findings
The needle-shaped particles are fragmented into the finer particles after FSP. There is uniform distribution of precipitations after FSP. The microhardness of manufactured surface bearings has been increased. Finer particles, smaller grains and in situ formed intermetallic precipitations (AlSb) can be responsible for hardness enhancement. Wear resistance of base metal also has been remarkably enhanced after FSP.

Originality/value
The originality of this paper lies in the following: new self-lubricating surface composite; a tough and resistant to wear sheets; and using a solid-state method to fabricate a surface bearing.
Freight group behavior under freight traffic restriction policy
Authors: Yang Haoxiong , Sun Lijun , Lan Shulin , Yang Chen 
Published: October 2017

Purpose
Many cities implement freight traffic restriction policy (FTRP) intending to reduce traffic congestion and air pollution. At the same time, city distribution had some negative effects. The purpose of this paper is therefore to study the freight group behavior under FTRP, and to provide some recommendations for the government.

Design/methodology/approach
This paper establishes a city distribution system model built by a simulation method of Agent, which includes the complex adaptability of freight individual, event of restriction policy, the influence factor of freight group behavior and its changes from the perspective of restriction policy. The rules of microscopic freight group behavior to macroscopic freight group behavior, the effects on freight group behavior exerted by restriction policy and the dynamic mechanism of freight group behavior are all studied. The model is also simulated with the traffic data of Beijing in China.

Findings
Theoretical results ensure that restriction of the passport is not the sole reason that may produce illegal trucks, and other measures need to be taken to solve the traffic problems. And in the long run, increasing fines has a greater effect than strengthening supervision frequency on illegal trucks reduction.

Originality/value
From city distribution perspective, this paper studied freight group behavior under FTRP. This paper also applied the Agent modeling method to build a model of urban distribution system in the FTRP.
Leveraging social network sites for new product launch
Authors: Roberts Deborah Lynn , Candi Marina , Hughes Mathew 
Published: October 2017

PurposeThe ability to make use of social network sites (SNSs) to promote new products and facilitate positive word of mouth around new product launch (NPL) presents an important opportunity. However, the mechanisms and motivations of SNS users are not well understood and businesses frequently fail to realise these opportunities. The purpose of this paper is to examine some of the forces that motivate people to spend time on SNS sites and how these motivations are related with people’s propensity to engage in behaviours that can be beneficial for NPL.Design/methodology/approachHypotheses are tested using data collected using an online survey from a broad sample of SNS users worldwide.FindingsPeople who spend time on SNSs to be challenged, to escape, or to connect with others are more likely than other users to pay attention to advertisements on SNS. Users that spend time on SNSs in the pursuit of information, to be challenged, or to connect with others are more likely than other users to provide word of mouth reviews and recommendations about products.Research limitations/implicationsThe authors make an empirical contribution to knowledge by providing evidence about the categories of user motivations for engagement with SNSs that might be related with their contributions to NPL activities, namely, paying attention to advertisements and providing WOM recommendations.Practical implicationsBy understanding what motivates SNS users, firms can identify potentially valuable users and develop a more strategic and targeted approach to NPL. This can help firms turn disappointing social media campaigns into more successful ones.Social implicationsWhilst the growth in usage of SNS has important implications for business and NPL there are also wider societal implications. Arguably, even before the widespread adoption of SNSs, society has been in a state of flux and transition as people sought to liberate themselves from the norms and social codes of previous generations. We have witnessed a rise of individualism, associated with values such as personal freedom and where people actively construct their own identities. Somewhat ironically, individualism has motivated people to seek alternative social activities and form communities, such as those on SNSs where they can fulfil their need for connection and belonging. SNSs appear to have accelerated this trend.Originality/valueThis study provides new insights about the use of SNSs for NPL and what motivates users to engage in behaviours that are beneficial to NPL.
Layer analysis of CO2 sources in the US economic supply chains: an input output LCA study
Authors: Egilmez Gokhan , Mohamed Abdul Ghani N. Muhammad Aslaam , Gedik Ridvan 
Published: October 2017

Purpose
Carbon footprint assessment requires a holistic approach, where all possible lifecycle stages of products from raw material extraction to the end of life are considered. The purpose of this paper is to develop an analytical sustainability assessment framework to assess the carbon footprint of US economic supply chains from two perspectives: supply chain layers (tiers) and carbon footprint sources.

Design/methodology/approach
The methodology consists of two phases. In the first phase, the data were collected from EORA input output and environmental impact assessment database. In the second phase, 48 input-output-based lifecycle assessment models were developed (seven CO2 sources and total CO2 impact, and six supply chain tiers). In the third phase, the results are analyzed by using data visualization, data analytics, and statistical approaches in order to identify the heavy carbon emitter industries and their percentage shares in the supply chains by each layer and the CO2 source.

Findings
Vast majority of carbon footprint was found to be attributed to the power generation, petroleum refineries, used and secondhand goods, natural gas distribution, scrap, and truck transportation. These industries dominated the entire supply chain structure and found to be the top drivers in all six layers.

Practical implications
This study decomposes the sources of the total carbon footprint of US economic supply chains into six layers and assesses the percentage contribution of each sector in each layer. Thus, it paves the way for quantifying the carbon footprint of each layer in today’s complex supply chain structure and highlights the importance of handling CO2 source in each layer separately while maintaining a holistic focus on the overall carbon footprint impacts in the big picture. In practice, one size fits all type of policy making may not be as effective as it could be expected.

Originality/value
This paper provides a two-dimensional viewpoint for tracing/analyzing carbon footprint across a national economy. In the first dimension, the national economic system is divided into six layers. In the second dimension, carbon footprint analysis is performed considering specific CO2 sources, including energy production, solvent, cement and minerals, agricultural burning, natural decay, and waste. Thus, this paper contributes to the state-of-art sustainability assessment by providing a comprehensive overview of CO2 sources in the US economic supply chains.
Trust and knowledge creation: the moderating effects of legal inadequacy
Authors: Wang Longwei , Zhang Min , Li Xiaodong 
Published: October 2017

PurposeThe purpose of this paper is to empirically investigate the effects of competence and goodwill trust on knowledge creation and the moderating effects of legal inadequacy on those relationships.Design/methodology/approachA questionnaire survey was used to collect data from 196 research and development alliances in China. Hierarchical moderated regression was used to test the research hypotheses.FindingsThe authors find that competence trust has a positive and linear relationship with knowledge creation while goodwill trust has an inverted U-shaped relationship with it. The results also reveal that the inverted U-shaped relationship between goodwill trust and knowledge creation is stronger when legal inadequacy is high, while the impact of competence trust on knowledge creation is not influenced by legal inadequacy.Originality/valueThe findings provide insights into the distinctive effects of competence and goodwill trust on knowledge creation in partnerships, deepening current understandings of the bright and dark sides of inter-firm trust. This study also clarifies the influences of legal inadequacy on the effectiveness of competence and goodwill trust, which enhances existing knowledge about the impact of legal systems on the relationships between inter-firm trust and knowledge management.
Consumer online flow experience
Authors: Lee Chi-Hsun , Wu Jyh Jeng 
Published: October 2017

Purpose
The purpose of this paper is to investigate the consumer experience of flow in an online consumer shopping environment and use online consumer participants to examine how consumer pursuit of shopping value links in turn affects their satisfaction and unplanned purchase behavior.

Design/methodology/approach
The research model was tested using the data collected from 363 valid questionnaires. Structural equation modeling was employed to verify and validate the research model.

Findings
The results of this study show that perceived control of flow and concentration will positively affect consumer utilitarian value, while concentration and cognitive enjoyment will positively affect hedonic value. Further, the effect of utilitarian value on satisfaction is greater than that of hedonic value. Finally, hedonic value positively affects unplanned buying behavior. This research results may serve as a reference for online store operators.

Research limitations/implications
This study used cross-sectional data for its cause and effect analysis. Long-term conclusions based on this study are not possible. Future scholars may consider using a longitudinal approach.

Practical implications
The results of this study clearly demonstrate that e-commerce operators must construct environments that create flow experiences for shoppers by increasing their perceived control, concentration, and cognitive enjoyment. Doing so will create both utilitarian and hedonic values, making consumers feel satisfied with their shopping experience and leading them to make purchases not originally planned in their shopping list.

Originality/value
This study’s major contribution is its successful linkage of the dimensions of flow experience to purchase values. Moreover, it confirms that when online shoppers have an unselfconscious flow experience, they will experience both utilitarian and hedonic values, thus increasing their satisfaction.