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The purpose of this paper is to outline some key aspects such as material systems used, phenomenological and statistical process modeling, techniques applied to monitor the process and optimization approaches reported. All these need to be taken into account for the ongoing development of the SLM technique, particularly in health care applications. The outcomes from this review allow not only to summarize the main features of the process but also to collect a considerable amount of investigation effort so far achieved by the researcher community.

This paper reviews four significant areas of the selective laser melting (SLM) process of metallic systems within the scope of medical devices as follows: established and novel materials used, process modeling, process tracking and quality evaluation, and finally, the attempts for optimizing some process features such as surface roughness, porosity and mechanical properties. All the consulted literature has been highly detailed and discussed to understand the current and existing research gaps.

With this review, there is a prevailing need for further investigation on copper alloys, particularly when conformal cooling, antibacterial and antiviral properties are sought after. Moreover, artificial intelligence techniques for modeling and optimizing the SLM process parameters are still at a poor application level in this field. Furthermore, plenty of research work needs to be done to improve the existent online monitoring techniques.

This review is limited only to the materials, models, monitoring methods, and optimization approaches reported on the SLM process for metallic systems, particularly those found in the health care arena.

SLM is a widely used metal additive manufacturing process due to the possibility of elaborating complex and customized tridimensional parts or components. It is corroborated that SLM produces minimal amounts of waste and enables optimal designs that allow considerable environmental advantages and promotes sustainability.

The key perspectives about the applications of novel materials in the field of medicine are proposed.

The investigations about SLM contain an increasing amount of knowledge, motivated by the growing interest of the scientific community in this relatively young manufacturing process. This study can be seen as a compilation of relevant researches and findings in the field of the metal printing process.

The term “agent-based modelling” (ABM) is a buzzword which is widely used in the scientific literature even though it refers to a variety of methodologies implemented in different disciplinary contexts. The numerous works dealing with ABM require a clarification to better understand the lines of thinking paved by this approach in economics. All modelling tasks are a means and a source of knowledge, and this epistemic function can vary depending on the methodology. this paper is to present four major ways (deductive, abductive, metaphorical and phenomenological) of implementing an agent-based framework to describe economic systems. ABM generates numerous debates in economics and opens the room for epistemological questions about the micro-foundations of macroeconomics; before dealing with this issue, the purpose of this paper is to identify the kind of ABM the author can find in economics.

The profusion of works dealing with ABM requires a clarification to understand better the lines of thinking paved by this approach in economics. This paper offers a conceptual classification outlining the major trends of ABM in economics.

There are four categories of ABM in economics.

This paper suggests a methodological categorization of ABM works in economics.

This paper is concerned with the performance of shell finite elements, well established in locking‐free computations with linear constitutive laws, in the case of non‐linear elastic material behaviour. Specifically enhanced strain elements are focused on. It is shown that the element behaviour depends on the resulting form of the stress tensor. Phenomenological models for highly non‐linear and elastically deforming rubber, like that of Odgen, are compared with the statistical‐based constitutive model developed by Arruda and Boyce. Whereas computations with the Odgen or any equivalent phenomenological model prove unstable, the behaviour of the enhanced elements, when the statistical model is applied, is shown to be superior. The behaviour is attributed to the mathematical form of the resulting stress tensor.

A transport equation for the one‐point velocity probability density function (pdf) of turbulence is derived, modelled and solved. The new pdf equation is obtained by two modeling steps. In the first step, a dynamic equation for the fluid elements is proposed in terms of the fluctuating part of Navier‐Stokes equation. A transition probability density function (tpdf) is extracted from the modelled dynamic equation. Then the pdf equation of Fokker‐Planck type is obtained from the tpdf. In the second step, the Fokker‐Planck type pdf equation is modified by Lundgren’s formal pdf equation to ensure it can properly describe the turbulence intrinsic mechanism. With the new pdf equation, the turbulent plane Couette flow is solved by the direct finite difference method coupled with dimensionality reduction and QUICKER scheme. A simple boundary treatment is proposed such that the near‐wall solution is tractable and then no refined grid is required. The calculated mean velocity, friction coefficient, and turbulence structure are in good agreement with available experimental data. In the region departed from the center of flow field, the contours of isojoint pdf of V₁ and V₂ is very similar to that of experimental result of channel flow. These agreements show the validity of the new pdf model and the availability of the boundary treatment and QUICKER scheme for solving the turbulent plane Couette flow.

The purpose of the present study is intended to fill a research gap, by advancing a conceptual model which brings novel insights on the relationships between socially responsible consumption and consumer’s need for uniqueness.

Relying on a questionnaire-based survey for data collection, the proposed model was tested using the partial least squares (PLS) algorithm for structural equation modeling (SEM), which allows the assessment of the models containing both formative and reflective constructs.

The research found that 73.7 per cent of the variance in the consumer’s belief in the importance of personal power to make a difference through socially responsible choices is explained by the proposed model. Moreover, four of the five factors of socially responsible consumption fully mediate the positive effect of the consumer’s need for uniqueness on the importance attached to personal socially responsible choices in driving positive change.

The study avails a phenomenological perspective by offering novel insights from a Romanian sample. The limitation associated with a country-centric vision is compensated through the contextual analysis and integration of a new point of reference in the overall framework of socially responsible consumption.

The evidence is indicative of new consumption insights and should be closely considered by companies.

The study draws upon a conceptual model integrating the relationships between socially responsible consumption and a psychological characteristic – the consumer’s need for uniqueness – which has been never tested as such before.

In a world where customer empowerment is continuously increasing and changing the service landscape, retailers must provide memorable shopping experiences to retain and attract new customers. When customers decide to go shopping in physical stores, they expect to enjoy their visit, experiencing cognitive, affective, social, and physical responses evoked by in-store stimuli. The purpose of this paper is to propose and validate a scale to measure in-store customer experience (ISCX).

This study’s theoretical review of customer experience (CX) demonstrates that a formative model provides the best structure for measuring the construct ISCX. Furthermore, the study follows the guidelines for rigorous construction of a formative scale, which include three main stages: generation of items, scale purification, and assessment of scale validity and reliability.

The results provide evidence that a formative third-order scale with a reflective second-order dimension (social experience) and three reflective first-order dimensions (cognitive, affective, and physical experience) has satisfactory psychometric properties. The findings also provide useful information on the effect of the ISCX scale on key performance variables such as satisfaction and loyalty to the store.

The ISCX scale proposed constitutes a useful multi-concept diagnostic tool for use by retailers to create fully experiential shopping environments with differential value for the customer. By providing a complete, robust, precise measure of CX in a retail environment, the scale gives researchers a structured way to examine the causes and consequences of CX in retail.

Modeling of material behavior by physically or microstructure-based models helps in understanding the relationships between its properties and microstructure. However, the majority of the numerical investigations on the prediction of the deformation behavior of AA2024 alloy are limited to the use of phenomenological or empirical constitutive models, which fail to take into account the actual microscopic-level mechanisms (i.e. crystallographic slip) causing plastic deformation. In order to achieve accurate predictions, the microstructure-based constitutive models involving the underlying physical deformation mechanisms are more reliable. Therefore, the aim of this work is to predict the mechanical response of AA2024-T3 alloy subjected to uniaxial tension at different strain rates, using a dislocation density-based crystal plasticity model in conjunction with computational homogenization.

A dislocation density-based crystal plasticity (CP) model along with computational homogenization is presented here for predicting the mechanical behavior of aluminium alloy AA2024-T3 under uniaxial tension at different strain rates. A representative volume element (RVE) containing 400 grains subjected to periodic boundary conditions has been used for simulations. The effect of mesh discretization on the mechanical response is investigated by considering different meshing resolutions for the RVE. Material parameters of the CP model have been calibrated by fitting the experimental data. Along with the CP model, Johnson–Cook (JC) model is also used for examining the stress-strain behavior of the alloy at various strain rates. Validation of the predictions of CP and JC models is done with the experimental results where the CP model has more accurately captured the deformation behavior of the aluminium alloy.

The CP model is able to predict the mechanical response of AA2024-T3 alloy over a wide range of strain rates with a single set of material parameters. Furthermore, it is observed that the inhomogeneity in stress-strain fields at the grain level is linked to both the orientation of the grains as well as their interactions with one another. The flow and hardening rule parameters influencing the stress-strain curve and capturing the strain rate dependency are also identified.

Computational homogenization-based CP modeling and simulation of deformation behavior of polycrystalline alloy AA2024-T3 alloy at various strain rates is not available in the literature. Therefore, the present computational homogenization-based CP model can be used for predicting the deformation behavior of AA2024-T3 alloy more accurately at both micro and macro scales, under different strain rates.

The paper's purpose is to develop a care‐context adapted version of the emotional stress reaction questionnaire (ESRQ), which is based on the cognitive‐phenomenological writings of Lazarus, and, using this instrument, to explore the relationship between quality of care from a patient perspective and patient satisfaction while taking key antecedent conditions into account.

Data were collected from 624 patients at 16 Swedish out‐patient clinics (75 per cent response rate). Patients responded to the ERSQ, the quality from the patient's perspective questionnaire (QPP), the single‐item measures of personality (SIMP), and questions related to the outcome of the visit. Dimensionality of the ESRQ was analysed using exploratory factor analysis and structural equation modelling. The relationship between the theoretical concepts was explored with logistic regression analysis.

A care‐context adapted version of the ESRQ was developed with meaningful factors and satisfactory psychometric properties. Care‐episode specific appraisal and coping processes covaried as predicted with emotional responses. The theoretical model was partly confirmed when assessed against two outcome criteria: intention to follow the doctor's advice and hesitation to visit the same out‐patient clinic again.

The scales used are easy to administer and interpret.

The suggested theoretical model of the relationship between quality of care from a patient perspective and patient satisfaction is new, as is the emotion‐oriented approach to assessing patient satisfaction.

The aim of this paper is to develop a suitable artificial neural network (ANN) model that fits best in predicting the experimental flow stress values to the closet proximity for mechanically alloyed Al6063/0.75Al2O3/0.75Y2O3 hybrid nanocomposite.

The ANN model is implemented on neural network toolbox of MATLAB^® using feed‐forward back propagation network and logsig functions. A set of 80 training data and 20 testing data were used in the ANN model. The layout of the network is arranged with three input parameters that include temperature, strain and strain rate, one hidden layer with 22 neurons and one output parameter consisting of flow stress. Flow stress was also predicted using Arrhenius constitutive model.

Based on the comparison of the predicted results using ANN model and Arrhenius constitutive model, it was observed that the ANN model has higher accuracy and could be used to estimate the flow stress values during hot deformation of Al6063/0.75Al2O3/0.75Y2O3 hybrid nanocomposite.

The ANN trained with feed forward back propagation algorithm developed, presents the excellent performance of flow stress prediction of Al6063/0.75Al2O3/0.75Y2O3 hybrid nanocomposite with minimum error rates.

The present study aims to resolve the adjustment problem of cavitation bubble number density in simulations of the cavitating flows within the diesel injection nozzle holes using a two-fluid cavitation model.

The basic rule that determines the variations of cavitation bubble number density has been checked through the scaling analysis of a two-fluid model under the assumption of hydrodynamic similarity of the cavitating flows. Moreover, a phenomenological model for the number density of cavitation bubbles that takes the hydrodynamic effect into account has been developed through the combined analysis of cavitation bubble dynamics and internal flow characteristics of diesel injection nozzle holes. This new model has also been validated by the discharge coefficient measures in a wide range of injection conditions.

The values of cavitation bubble number density must rationally match changes both in liquid quality effect and in hydrodynamic effect corresponding to different cavitating flows. The validation results show that the two-fluid cavitation model together with this new cavitation bubble number density model predicts well both the cavitation content inside the diesel nozzle hole and the relationship between discharge coefficient and cavitation number, and the new cavitation bubble number density model has the potential to further expand the application range of the two-fluid cavitation model.

This study provides insight into hydrodynamic effect corresponding to cavitating flows inside diesel nozzle holes and presents an idea to model the cavitation bubble number density phenomenologically. The model idea and the developed model are useful to researchers and engineers in the area of nozzle internal flow and cavitating flow.