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Summarizes the work conducted on the research and development of machinery to automate the turning and pressing of collars and their automated assembly to the shirt‐collar bands sponsored by the Defense Logistics Agency. This research and development has involved the conceptualization, design and development of proof‐of‐concept shirt‐collar turning and pressing processes based on “double‐point turning and pressing” and their systems integration into a robot‐assisted apparel workstation. The work has also involved a second activity to understand, design and develop technology which can temporarily fold and crease single‐ply shirt‐collar bands for continuous automated assembly of shirt collars and collar‐bands. This work has involved the understanding of the folding and creasing properties of various apparel fabrics, the evaluation of two technology approaches for accomplishing this task, and the attachment machine control technology for high‐speed collar and collar‐band joining.

Because many cutting fluids contain hazardous chemical constituents, industries and researchers are looking for alternative methods to reduce the consumption of cutting fluids in machining operations due to growing awareness of ecological and health issues, government strict environmental regulations and economic pressures. Therefore, the purpose of this study is to raise awareness of the minimum quantity lubrication (MQL) technique as a potential substitute for environmental restricted wet (flooded) machining situations.

The methodology adopted for conducting a review in this study includes four sections: establishment of MQL technique and review of MQL machining performance comparison with dry and wet (flooded) environments; analysis of the past literature to examine MQL turning performance under mono nanofluids (M-NF); MQL turning performance evaluation under hybrid nanofluids (H-NF); and MQL milling, drilling and grinding performance assessment under M-NF and H-NF.

From the extensive review, it has been found that MQL results in lower cutting zone temperature, reduction in cutting forces, enhanced tool life and better machined surface quality compared to dry and wet cutting conditions. Also, MQL under H-NF discloses notably improved tribo-performance due to the synergistic effect caused by the physical encapsulation of spherical nanoparticles between the nanosheets of lamellar structured nanoparticles when compared with M-NF. The findings of this study recommend that MQL with nanofluids can replace dry and flood lubrication conditions for superior machining performance.

Machining under the MQL regime provides a dry, clean, healthy and pollution-free working area, thereby resulting the machining of materials green and environmentally friendly.

This paper describes the suitability of MQL for different machining operations using M-NF and H-NF.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2023-0131/

First, the effect of magnetic field intensity and nano-ferrofluid concentrations on surface roughness was evaluated in magnetic minimum quantity lubrication (MMQL). Then, the effect of lubricant flow rate and nozzle position on surface roughness was investigated in MQL, MMQL, electrostatic MQL (EMQL) and electromagnetic MQL (EMMQL).

This study examined the performance of MQL under magnetic and electric fields in turning AISI 304 stainless steel in terms of surface roughness and compared the results with those obtained from wet cutting and MQL turning operations. To prepare the nano-ferrofluid used in different states of MQL, Fe₃O₄ nanoparticles were added to the base fluid.

The results showed that the surface roughness under the EMMQL technique decreased by 36% and 49.4% on average compared with wet and MQL techniques, respectively. The lubrication technique affected the surface roughness by 90.2%, whereas it was 8.3% for the lubricant flow rate. EMQL and EMMQL techniques had no significant difference in their effects on surface roughness. In the innovative MMQL technique, the nano-ferrofluid concentration of 6% and magnetic field intensity of 93 G resulted in lower surface roughness of the workpiece relative to other counterparts.

Examining previously published studies showed that using nano-ferrofluids under a magnetic field for cooling purposes in machining processes have less considered by researchers. This study applies an innovative method of lubrication under the concurrent effect of magnetic and electric fields, called EMMQL, to improve the efficiency of MQL in machining hard-to-cut materials. For comprehensively inspecting the newly presented method, the effects of several parameters, including the nano-ferrofluid concentration, magnetic field intensity, lubricant flow rate and position of lubricant spray nozzle, on the surface roughness of workpiece in turning of AISI 304 stainless steel are investigated.

The purpose of this paper is to study the realization of turn‐over‐wok movement for a cooking robot.

First, the authors introduce the cooking robot's movement mechanism and its realization methods and then analyze the movement geometric of the movement mechanism. The authors conduct the force analysis of the material in the wok motion and suppose the moving situation of mass point m when turning over the wok and shaking the wok.

The problem of the cooking robot simulating the special cooking motion made by a chef is solved.

The robot is applicable to being a cooking robot for Chinese dishes.

The paper shows how to optimize the effect of material moving track and satisfies the requirements of wok motion of cooking robot.

As at the end of the Cold War, today there is no desirable or superior alternative to a universal liberal international order. However, a liberal order is not automatic and today we are at a major turning point where we face two alternative scenarios: a turn for the worse or a turn for the better. The crisis in Iraq underscores the need to reaffirm and strengthen the democratic liberal international order. Concludes that the chances of a turn for the better are higher than those of a turn for the worse, i.e. the strengthening of the liberal international order is more likely than its disintegration and breakdown. There is a need for new initiatives, solidarities, consensus, intellectual and political leadership from all the countries that share the same vision of a universal order. It must, however, be a “voluntarist” endeavor.

This paper aims to focus on the application of multi-attribute decision-making methods (MADMs) to ascertain the optimal machining parameters while turning Ti-6Al-4V alloy under minimum quantity lubrication (MQL) conditions using Jatropha-curcas oil (JCO) bio-based lubricant.

The experiments were designed and performed using Taguchi L27 design of experiments methodology. A total of 27 experiments were performed under MQL conditions using textured carbide cutting tools on which different MADMs like Analytic hierarchy process (AHP), Technique for order preference by similarity to ideal solution (TOPSIS) and Simple additive weighting (SAW) were implemented in an empirical manner to extract optimize machining parameters for turning of Ti-6Al-4V alloy under set of constrained conditions.

The results evaluated through MADMs exhibit the optimized set of machining parameters (cutting speed V_c = 80 m/min, feed rate f = 0.05 mm/rev. and depth of cut a_p = 0.10 mm) for minimizing the average surface roughness (Ra), maximum flank wear (Vbmax), tangential cutting force (Fc) and cutting temperature (T). Further, analysis of variance (ANOVA) and traditional desirability function approach was applied and results of TOPSIS and SAW methods having optimal setting of parameters were compared as well as confirmation experiments were conducted to verify the results. A SEM analysis at lowest and highest cutting speeds was performed to investigate the tool wear patterns. At the highest speed, large cutting temperature generated, thereby resulted in chipping as well as notching and fracturing of the textured insert.

The research paper attempted in exploring the optimized machining parameters during turning of difficult-to-cut titanium alloy (Ti-6AL-4V) with textured carbide cutting tool under MQL environment through combined approach of MADMs techniques. Ti-6Al-4V alloy has been extensively used in important aerospace components like fuselage, hydraulic tubing, bulk head, wing spar, landing gear, as well as bio-medical applications.

This paper aims to solve the lubrication failures in the turning arm bearing of RV reducer, give some help in perfecting the bearing structure design and provide theoretical basis for the reducer’s performance improvement.

The paper establishes a mixed lubrication analysis model to study performance parameters. According to the discretization of parameters and iteration of equations, numerical simulation and theoretical analysis are achieved in computational process.

Considering influences of contact load, real rough surface and realistic geometry of RV reducer turning arm roller bearing, the mixed lubrication analysis model is established to study the ratio of oil film thickness, pressure distribution and maximum von Mises stress in different speeds, temperatures and fillets. The results of mixed lubrication show that reasonable round corner modification, increase in temperature and speed, decrease of surface roughness and lubricant types can improve the lubrication performance.

The mixed lubrication analysis model is established to study the influences of contact load, real rough surface and realistic geometry of RV reducer turning arm roller bearing. Different speed, temperature, lubricant and fillet modification are also considered in the research to analyze oil film thickness, pressure distribution and maximum von Mises stress. These studies can optimize structural design of bearing and direct engineer operations.

This paper sets out to identify when, how and why tourism has changed from 1946 to 2020 using historical and future turning points.

Using the evolutionary paradigm from future studies and the authors’ expertise, this paper aims to provide a focussed review of the history of tourism to identify turning points drawing upon examples from Tourism Review that have transformed or will be of significance in the evolution of tourism.

This paper identifies three historical turning points which are mobility, Fordism and mass tourism and a modern-day leisure class. Three future turning points are identified including the political importance of tourism, footprint and transformational technologies.

By undertaking a historical analysis of the tourism literature, we can determine that Hobsbawm’s (1995, p. 46) proposition that “the future is a replication of the past” is true, as many of the debates about tourism from the past are relevant today and will be in the future. Thus, this paper identifies six turning points that are of significance to historians and futurists in understanding the evolution of tourism from 1946 to 2095.

The present study spotlights the single and multicriteria decision-making (MCDM) methods to determine the optimal machining conditions and the predictive modeling for surface roughness (Ra) and cutting tool flank wear (VB) while hard turning of AISI 4340 steel (35 HRC) under dry environment.

In this study, Taguchi L16 design of experiments methodology was chosen. The experiments were performed under dry machining conditions using TiSiN-TiAlN nanolaminate PVD-coated cutting tool on which Taguchi and responses surface methodology (RSM) for single objective optimization and MCDM methods like the multi-objective optimization by ratio analysis (MOORA) were applied to attain optimal set of machining parameters. The predictive models for each response and multiresponse were developed using RSM-based regression analysis. S/N ratios, analysis of variance (ANOVA), Pareto diagram, Tukey's HSD test were carried out on experimental data for profound analysis.

Optimal set of machining parameters were obtained as cutting speed: at 180 m/min., feed rate: 0.05 mm/rev., and depth of cut: 0.15 mm; cutting speed: 145 m/min., feed rate: 0.20 mm/rev. and depth of cut: 0.1 mm for Ra and VB, respectively. ANOVA showed feed rate (96.97%) and cutting speed (58.9%) are dominant factors for Ra and VB, respectively. A remarkable improvement observed in Ra (64.05%) and VB (69.94%) after conducting confirmation tests. The results obtained through the MOORA method showed the optimal set of machining parameters (cutting speed = 180 m/min, feed rate = 0.15 mm/rev and depth of cut = 0.25 mm) for minimizing the Ra and VB.

This work contributes to realistic application for manufacturing industries those dealing with AISI 4340 steel of 35 HRC. The research contribution of present work including the predictive models will provide some useful guidelines in the field of manufacturing, in particular, manufacturing of gear shafts for power transmission, turbine shafts, fasteners, etc.

To reconcile the existing contradictory conclusions on the relationship between cross-border mergers and acquisitions (M&As) and innovation, this paper aims to propose a theoretical model of the impact of cross-border M&As on technological innovation and explore the moderating role of institutional distance from the perspective of springboard theory and new institutional theory.

Through the use of the two-way fixed effect model and the U-test method, the authors test the hypotheses based on a sample of cross-border M&A events of Chinese manufacturing enterprises during the period from 2006 to 2019.

The research shows that there is an inverted U-shaped relationship between cross-border M&As and technological innovation. Furthermore, formal institutional distance moderates the inverted U-shaped relationship in such a way that it reaches its turning point at a smaller scale of cross-border M&As, and the inverted U-shaped relationship is steeper when formal institutional distance is relatively high. The informal institutional distance moderates the inverted U-shaped relationship in such a way that it reaches its turning point at a larger scale of cross-border M&As and the inverted U-shaped relationship is flatter when the informal institutional distance is relatively high.

The research conclusions integrate heterogeneous views of the existing research, further clarify the influence mechanism and boundary conditions between cross-border M&As and technological innovation, identify the different moderating roles of formal institutional distance and informal institutional distance and enrich the literature on knowledge transfer and recombinant innovation during post-merger integration.