Xiaohong Lu, FuRui Wang, Liang Xue, Yixuan Feng and Steven Y. Liang
The purpose of this study is to realize the multi-objective optimization for MRR and surface roughness in micro-milling of Inconel 718.
Abstract
Purpose
The purpose of this study is to realize the multi-objective optimization for MRR and surface roughness in micro-milling of Inconel 718.
Design/methodology/approach
Taguchi method has been applied to conduct experiments, and the cutting parameters are spindle speed, feed per tooth and depth of cut. The first-order models used to predict surface roughness and MRR for micro-milling of Inconel 718 have been developed by regression analysis. Genetic algorithm has been utilized to implement multi-objective optimization between surface roughness and MRR for micro-milling of Inconel 718.
Findings
This paper implemented the multi-objective optimization between surface roughness and MRR for micro-milling of Inconel 718. And some conclusions can be summarized. Depth of cut is the major cutting parameter influencing surface roughness. Feed per tooth is the major cutting parameter influencing MRR. A number of cutting parameters have been obtained along with the set of pareto optimal solu-tions of MRR and surface roughness in micro-milling of Inconel 718.
Originality/value
There are a lot of cutting parameters affecting surface roughness and MRR in micro-milling, such as tool diameter, depth of cut, feed per tooth, spindle speed and workpiece material, etc. However, to the best our knowledge, there are no published literatures about the multi-objective optimization of surface roughness and MRR in micro-milling of Inconel 718.
Details
Keywords
Ch Kapil Ror, Vishal Mishra, Sushant Negi and Vinyas M.
This study aims to evaluate the potential of using the in-nozzle impregnation approach to reuse recycled PET (RPET) to develop continuous banana fiber (CBF) reinforced…
Abstract
Purpose
This study aims to evaluate the potential of using the in-nozzle impregnation approach to reuse recycled PET (RPET) to develop continuous banana fiber (CBF) reinforced bio-composites. The mechanical properties and fracture morphology behavior are evaluated to establish the relationships between layer spacing–microstructural characteristics–mechanical properties of CBF/RPET composite.
Design/methodology/approach
This study uses RPET filament developed from post-consumer PET bottles and CBF extracted from agricultural waste banana sap. RPET serves as the matrix material, while CBF acts as the reinforcement. The test specimens were fabricated using a customized fused deposition modeling 3D printer. In this process, customized 3D printer heads were used, which have a unique capability to extrude and deposit print fibers consisting of a CBF core coated with an RPET matrix. The tensile and flexural samples were 3D printed at varying layer spacing.
Findings
The Young’s modulus (E), yield strength (sy) and ultimate tensile strength of the CBF/RPET sample fabricated with 0.7 mm layer spacing are 1.9 times, 1.25 times and 1.8 times greater than neat RPET, respectively. Similarly, the flexural test results showed that the flexural strength of the CBF/RPET sample fabricated at 0.6 mm layer spacing was 47.52 ± 2.00 MPa, which was far greater than the flexural strength of the neat RPET sample (25.12 ± 1.94 MPa).
Social implications
This study holds significant social implications highlighting the growing environmental sustainability and plastic waste recycling concerns. The use of recycled PET material to develop 3D-printed sustainable structures may reduce resource consumption and encourages responsible production practices.
Originality/value
The key innovation lies in the concept of in-nozzle impregnation approach, where RPET is reinforced with CBF to develop a sustainable composite structure. CBF reinforcement has made RPET a superior, sustainable, environmentally friendly material that can reduce the reliance on virgin plastic material for 3D printing.
Details
Keywords
Weixin Zhang, Zhao Liu, Yu Song, Yixuan Lu and Zhenping Feng
To improve the speed and accuracy of turbine blade film cooling design process, the most advanced deep learning models were introduced into this study to investigate the most…
Abstract
Purpose
To improve the speed and accuracy of turbine blade film cooling design process, the most advanced deep learning models were introduced into this study to investigate the most suitable define for prediction work. This paper aims to create a generative surrogate model that can be applied on multi-objective optimization problems.
Design/methodology/approach
The latest backbone in the field of computer vision (Swin-Transformer, 2021) was introduced and improved as the surrogate function for prediction of the multi-physics field distribution (film cooling effectiveness, pressure, density and velocity). The basic samples were generated by Latin hypercube sampling method and the numerical method adopt for the calculation was validated experimentally at first. The training and testing samples were calculated at experimental conditions. At last, the surrogate model predicted results were verified by experiment in a linear cascade.
Findings
The results indicated that comparing with the Multi-Scale Pix2Pix Model, the Swin-Transformer U-Net model presented higher accuracy and computing speed on the prediction of contour results. The computation time for each step of the Swin-Transformer U-Net model is one-third of the original model, especially in the case of multi-physics field prediction. The correlation index reached more than 99.2% and the first-order error was lower than 0.3% for multi-physics field. The predictions of the data-driven surrogate model are consistent with the predictions of the computational fluid dynamics results, and both are very close to the experimental results. The application of the Swin-Transformer model on enlarging the different structure samples will reduce the cost of numerical calculations as well as experiments.
Research limitations/implications
The number of U-Net layers and sample scales has a proper relationship according to equation (8). Too many layers of U-Net will lead to unnecessary nonlinear variation, whereas too few layers will lead to insufficient feature extraction. In the case of Swin-Transformer U-Net model, incorrect number of U-Net layer will reduce the prediction accuracy. The multi-scale Pix2Pix model owns higher accuracy in predicting a single physical field, but the calculation speed is too slow. The Swin-Transformer model is fast in prediction and training (nearly three times faster than multi Pix2Pix model), but the predicted contours have more noise. The neural network predicted results and numerical calculations are consistent with the experimental distribution.
Originality/value
This paper creates a generative surrogate model that can be applied on multi-objective optimization problems. The generative adversarial networks using new backbone is chosen to adjust the output from single contour to multi-physics fields, which will generate more results simultaneously than traditional surrogate models and reduce the time-cost. And it is more applicable to multi-objective spatial optimization algorithms. The Swin-Transformer surrogate model is three times faster to computation speed than the Multi Pix2Pix model. In the prediction results of multi-physics fields, the prediction results of the Swin-Transformer model are more accurate.
Details
Keywords
Yongge Niu, Zhuzhu Feng and Yixuan Niu
Many companies must choose a marketing strategy to promote new products. This includes publishing digital video advertising with interactive features on the Internet. Guided by…
Abstract
Purpose
Many companies must choose a marketing strategy to promote new products. This includes publishing digital video advertising with interactive features on the Internet. Guided by the attribute-framing theory, this study investigates the impact of the number of positive attribute framings (NPAF) in advertising messages on consumer responses. This study aims to check whether new products are incrementally new products (INPs) or really new products (RNPs).
Design/methodology/approach
Content analysis was conducted to identify the forms and components of attribute framing used in advertisements and consumer responses (i.e. review valence). Furthermore, this study followed an expert scoring procedure to identify product newness (INP vs. RNP). Hierarchical polynomial regression analysis was used to investigate the relationship between the NPAF, customer response and product newness.
Findings
This study has three main findings: (1) regardless of whether the new product is INP or RNP, there is an inverted U-shaped relationship between NPAF and consumer responses; (2) the inflection point of NPAF (INP) is greater than the inflection point of NPAF (RNP) and (3) the maximum value of consumer response for INP is greater than that for RNP.
Originality/value
This study sheds light on the effectiveness of attribute framing in new product advertising. Compared to previous research on attribute framing of advertising, this study is based on a realistic scenario in which multiple attributes are framed within a given advertisement copy. Furthermore, secondary data were used to test the impact of NPAF on consumer responses and further explore the effects of product newness.
Details
Keywords
Yixuan Zhao and Qin Xu
Matching with the timeline of major events in China, as well as major shifts in China’s human research management, the purpose of this paper is to present the comparisons of…
Abstract
Purpose
Matching with the timeline of major events in China, as well as major shifts in China’s human research management, the purpose of this paper is to present the comparisons of achieving styles among Chinese millennial employees, millennial university students and Generation X employees.
Design/methodology/approach
Drawing from the achieving styles literature as well as the life course theory, this study first proposes hypotheses on specific differences in nine achieving styles. The authors tested by using data from 889 millennial employees and 364 millennial students from five cities in China.
Findings
The results showed that the power direct achieving style stood out for the Chinese millennials, and the competitive direct achieving style ranked higher for Generation X. Moreover, millennial employees had higher scores for all nine achieving styles than millennial students.
Practical implications
This study advises that when motivating Chinese millennial employees, human resource managers can create a competitive environment and provide career planning guidance, and that to better assist millennial university students to socialize, human resource managers can develop matched internship programs.
Originality/value
The paper contributes to the life course literature and the achieving styles literature by comparing the differences among Chinese millennial employees, university students and Generation X.
Details
Keywords
Ning Wang, Yang Zhao, Ruoxin Zhou and Yixuan Li
Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with…
Abstract
Purpose
Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with their information being at the risk of being illegally collected, leaked, spread and misused. This study aims to explore the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust, and the authors extend previous research with two moderators.
Design/methodology/approach
Based on 48 independent empirical studies, this paper conducted a meta-analysis to synthesize existing results from collected individual studies. This meta-analysis explored the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust.
Findings
The meta-analysis results based on 48 independent studies revealed that perceived benefit, trust, subjective norm and perceived behavioral control have significant positive effects, while perceived privacy risk and privacy concern have significant negative effects. Moreover, cultural background and platform type moderate the relationship between antecedents and online information disclosure intention.
Originality/value
This paper explored the moderating effects of an individual factor and a platform factor on users' online information disclosure intention. The moderating effect of cultural differences is examined with Hofstede's dimensions, and the moderating role of the purpose of online information disclosure is examined with platform type. This study extends online information disclosure literature with a multi-perspective meta-analysis and provides guidelines for practitioners.
Details
Keywords
This study aims to investigate account managers’ dual embeddedness (customer and internal embeddedness) in solution co-creation. The authors examine the mediating role of two-way…
Abstract
Purpose
This study aims to investigate account managers’ dual embeddedness (customer and internal embeddedness) in solution co-creation. The authors examine the mediating role of two-way matching between suppliers and customers and the moderating role of customer requirement complexity.
Design/methodology/approach
The authors use a questionnaire to collect data from 566 account managers of supplier companies in China and conduct hypothesis testing through multiple linear regression analysis and bootstrapping.
Findings
The findings demonstrate that customer and internal embeddedness are distinct with different dimensions and are positively related to solution co-creation performance. Customer and internal embeddedness affect solution co-creation performance through two-way matching in the customer requirement definition and solution integration phases, respectively. The interaction term of customer and internal embeddedness indirectly affect solution co-creation performance through two-way matching, and customer requirement complexity strengthens this main effect.
Originality/value
To the best of the authors’ knowledge, this study is the first to examine dual embeddedness at the individual level and distinguish between the customer and internal embeddedness of account managers by different dimensional classifications. The authors clarify the difference and relationship between customer and internal embeddedness in solution co-creation and investigate the mediating and moderating roles of two-way matching and customer requirement complexity, respectively. This study expands the theoretical research on social embeddedness theory and business-to-business solutions and provides useful insights into the solution co-creation practice for account managers and suppliers.
Details
Keywords
Yixuan Xue, Ziyang Zhen, Zhibing Zhang, Teng Cao and Tiancai Wan
Accurate glide path tracking is vital to the automatic carrier landing task of unmanned aerial vehicle (UAV). The purpose of this paper is to develop a reliable flight controller…
Abstract
Purpose
Accurate glide path tracking is vital to the automatic carrier landing task of unmanned aerial vehicle (UAV). The purpose of this paper is to develop a reliable flight controller that can simultaneously deal with external disturbance, structure fault and actuator fault.
Design/methodology/approach
The automatic carrier landing task is resolved into the glide path tracking problem and attitude tracking problem. The disturbance observer-based adaptive sliding mode control scheme is proposed for system stabilization, disturbance rejection and fault tolerance.
Findings
Both the Lyapunov method and exemplary simulations can prove that the disturbance estimation error and the attitude tracking error converge in finite time in the presence of external disturbances and various faults.
Practical implications
The presented algorithm is testified by a UAV automatic carrier landing simulation, which shows the potential of practical usage.
Originality/value
The barrier function is introduced to adaptively update both the sliding mode observer gain and sliding mode controller gain, so that the sliding mode surface could converge to a predefined region without overestimation. The proposed flight controller ensures a secure carrier landing task.
Details
Keywords
Yixuan Niu and Baolong Ma
This research delves into the nuanced effects of positive goal framing quantity in advertising on consumer reactions towards new products, categorizing them into incrementally new…
Abstract
Purpose
This research delves into the nuanced effects of positive goal framing quantity in advertising on consumer reactions towards new products, categorizing them into incrementally new products (INPs) and really new products (RNPs). It moves beyond the traditional binary evaluation of advertising effectiveness, offering a more intricate analysis of consumer engagement based on product novelty.
Design/methodology/approach
Employing a comprehensive dataset encompassing 461 digital video advertisements from six leading technology-centric firms, this study employs content analysis alongside hierarchical polynomial regression to dissect the dynamics between the volume of positive goal framings and consumer engagements. This examination is contextualized within the spectrum of product innovation, offering insights into the differential consumer behaviors elicited by INPs and RNPs.
Findings
The investigation uncovers a non-linear, inverted U-shaped correlation between the volume of positive goal framings and consumer responses. This relationship exhibits variability in its intensity between INPs and RNPs, with INPs demonstrating a more pronounced response variability around a higher inflection point on the curve. This pattern underscores the complex interplay between goal framing and product novelty in shaping consumer perceptions and actions.
Originality/value
This study pioneers the exploration of goal framing within the realm of product advertising, shifting the analytical lens from its traditional roots in health and medicine to the intricacies of consumer behavior in response to advertising. By introducing a distinctive classification of product newness through INPs and RNPs, the research augments current understanding of effective advertising strategies, delivering profound insights for marketers and advertisers in tailoring their campaigns to align with consumer expectations and product characteristics.
Details
Keywords
Weihua Xu, Shujun Zhou, Ketong Zhao, Yixuan Shi and Sun Bingzhen
The purpose of this paper is to focus on determining the optimal sales price for non-instantaneous deterioration items according to consideration of freshness and demand.
Abstract
Purpose
The purpose of this paper is to focus on determining the optimal sales price for non-instantaneous deterioration items according to consideration of freshness and demand.
Design/methodology/approach
In this model, the authors have described the demand function which is dependent on price as well time. The products that the deterioration is considered as non-instantaneous have a determinate shelf life, and their demand rate will decrease over time after the beginning of the selling period. This paper depicts that the total profit of non-instantaneous deterioration items using the dynamic pricing strategy is higher than that using fixed pricing strategy.
Findings
Finally, to illustrate and validate the model, the authors have used some numerical examples. A new freshness function and the model to study pricing policy are developed as well applied to solve managerial decision problems.
Originality/value
This paper complements the lack of the existing theoretical research of pricing for non-instantaneous deterioration items under an e-commerce environment. A new freshness function and the model to study pricing policy are developed as well applied to solve managerial decision problems.