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The purpose of this study was to use bridge curvature method (BCM) to quantify stress, while multiscale modeling with adaptive coarsening predicted distortions based on experimentally validated models. Taguchi method and response surface method were used to optimize process parameters (energy density, hatch spacing, scanning speed and beam diameter).

Laser powder bed fusion (LPBF) offers significant design freedom but suffers from residual stresses due to rapid melting and solidification. This study presents a novel approach combining multiscale modeling and statistical optimization to minimize residual stress in SS316L.

Optimal parameters were identified through simulations and validated with experiments, achieving an 8% deviation. This approach significantly reduced printing costs compared to traditional trial-and-error methods. The analysis revealed a non-monotonic relationship between residual stress and energy density, with an initial increase followed by a decrease with increasing hatch spacing and scanning speed (both contributing to lower energy density). Additionally, beam diameter had a minimal impact compared to other energy density parameters.

This work offers a unique framework for optimizing LPBF processes by combining multiscale modeling with statistical techniques. The identified optimal parameters and insights into the individual and combined effects of energy density parameters provide valuable guidance for mitigating residual stress in SS316L, leading to improved part quality and performance.

The current analysis was conducted to investigate the quality of surfaces and geometry of tracks printed using PolyMideTM CoPA, PolymaxTM PC and PolyMideTM PA6-CF materials through fused deposition modelling (FDM). This study also examined the degree of fusion of adjacent filaments (tracks) to approximate the optimal process parameters of the three materials.

Images of fused adjacent filaments were acquired using scanning electron microscopy (SEM), after which, they were analysed using Image J Software and Minitab Software to determine the optimal process parameters.

The optimal process parameters for PolyMideTM CoPA are 0.25 mm, 40 mm/s, −0.10 mm, 255°C and 0.50 mm for layer thickness, printing speed, hatch spacing, extrusion temperature and extrusion width, respectively. It was also concluded that the optimal process parameters for PolymaxTM PC are 0.30 mm, 40 mm/s, 0.00 mm, 260°C and 0.6 mm for layer thickness, printing speed, hatch spacing, extrusion temperature and extrusion width, respectively.

It was difficult to separate tracks printed using PolyMideTM PA6-CF from the support structure, making it impossible to examine and determine their degree of fusion using SEM.

The study provides more knowledge on FDM, which is one of the leading additive manufacturing technology for polymers. The information provided in this study helps in continued uptake of the technique, which can help create job opportunities, especially among the youth and young engineers.

This study proposes a new and a more accurate method for optimising process parameters of FDM at meso-scale level.

Surface quality and porosity significantly influence the structural and functional properties of the final product. This study aims to establish and explain the underlying relationships among processing parameters, top surface roughness and porosity level in additively manufactured 316L stainless steel.

A systematic variation of printing process parameters was conducted to print cubic samples based on laser power, speed and their combinations of energy density. Melt pool morphologies and dimensions, surface roughness quantified by arithmetic mean height (Sa) and porosity levels were characterized via optical confocal microscopy.

The study reveals that the laser power required to achieve optimal top surface quality increases with the volumetric energy density (VED) levels. A smooth top surface (Sa < 15 µm) or a rough surface with humps at high VEDs (VED > 133.3 J/mm³) can serve as indicators for fully dense bulk samples, while rough top surfaces resulting from melt pool discontinuity correlate with high porosity levels. Under insufficient VED, melt pool discontinuity dominates the top surface. At high VEDs, surface quality improves with increased power as mitigation of melt pool discontinuity, followed by the deterioration with hump formation.

This study reveals and summarizes the formation mechanism of dominant features on top surface features and offers a potential method to predict the porosity by observing the top surface features with consideration of processing conditions.

This paper revisits the foundational concepts of agency and action in routine dynamics to provide guidance for intentional and directional change in a world in flux from a routine dynamics perspective. First, the authors put forward a relational-temporal triad of agency as a ratio of the past, present, and future to outline what gives shape to individual action. Second, the authors combine with this a relational-temporal triad of routine as a ratio of patterning, performing, and projecting to outline what gives shape to social action. Based on this, the authors reconceptualize the dynamic of routines as an enfolding inside-out and outside-in process that expresses the relational constraints between the intentionality of individual action and the directionality of social action. In managing a world in flux toward desirable futures, routines – as temporal structures for carrying out organizational work – need to be able to carry some degree of continuity to bring about change in fulfilling a desired and identified direction. The authors identify in-tension-less, in-tension-al, and in-tension-ful as three different degrees of intentionality in individual action and continuing, renewing, and transforming as the spectrum of a continuum of directionality in social action for routine change. Using time to bring in a fully relational understanding of agency and action in routine dynamics, the authors render the complexities of structure-agency and continuity-change dualities clearer and reveal their otherwise latent properties. This more complete picture of routine dynamics would allow for more intentional organizational routine change forward when facing significant environmental and social challenges in a world of flux.

Scholars, activists, and policymakers have paid increasing attention to housing instability, especially where eviction is a cause. Housing instability is a dynamic process rather than a discrete catastrophic event, and eviction imposes vulnerability on consumers. Even the threat of it can trigger the onset of a crisis. In this project, we deepen the understanding of eviction by exploring its use in property management practice. We begin by summarizing its definition and causes from a cross-disciplinary and still-evolving literature. We then provide an extended example of how eviction can be used to pursue strategic and financial goals using rental markets in Arkansas as an example. Arkansas is characterized by a quintessentially laissez-faire regulatory environment that imposes few restrictions on property owners. We conclude by posing questions that should be at the forefront of a vulnerability-focused, policy-oriented research agenda on eviction.

Most Asians are directly or indirectly dependent on agriculture, and most live in rural areas. Since Asia is primarily an agricultural economy, rural tourism and agrotourism are critical in enabling growth. Agrotourism is a term that refers to the fusion of tourism and agriculture. The freshwater turtles (Batagur sp.) are a group of six turtles that once roamed southern Asia's great rivers and estuaries from the Indian Subcontinent to the Indonesian islands. Therefore, this review is to investigate the current state of agrotourism in Batagur sp. conservation and assess the associated challenges and opportunities. This review paper recognized the impacts and benefits for the rural site as an agrotourism industry. Moreover, three initiatives in Batagur sp. conservation programs were also discussed. Agrotourism, with a focus on the conservation of Batagur sp., is a vital driver of economic growth in rural Asian regions. It diversifies rural communities' income sources, enhancing economic stability and resilience.

This chapter delves into sustainability-related competences in innovation management for further education as part of the European lifelong learning initiative. Despite extensive research in primary and secondary education, adult education often remains overlooked. Competence-based learning is a favored approach to integrating knowledge, skills, and attitudes across various domains. Through thematic analysis and deductive coding, the study examines 72 innovation management-related further education programs conducted in Baden-Württemberg, Germany, between June and December 2022. The findings unequivocally demonstrate the inclusion of sustainability competences in innovation-related further education. Notably, Strategic Competence emerges as the most prevalent, while Normative Competence appears least frequently. This research significantly advances the convergence of further education in innovation management, responsible management education, and competence-based learning, emphasizing the importance of sustainability competences in adult learning contexts. By shedding light on this underexplored domain, the study prompts further exploration and development of sustainable educational practices for lifelong learning.

While corporate social responsibility (CSR) has been gaining support for the role it plays in employee outcomes, such as organizational identification (OID), the view of CSR from a social identity perspective is underdeveloped. This conceptual chapter explores the role of social identity processes grounded in organizational justice to develop a model of CSR attributions and the moderating role these attributions play in organizational member outcomes. CSR is understood as the relational processes happening with stakeholders, and these relationships engage specific organizational identity orientations. The social identity process flows from there, resulting in CSR attributions including strategic, relational, and virtuous. Using social identity, organizational identity, and organizational justice, this chapter makes two specific contributions: a CSR attribution typology grounded in organizational justice and the moderating impact of these attributions between activated justice dimensions and resulting organizational member outcomes.

This study aims to address the limited understanding of the complex correlations among strut size, structural orientation and process parameters in selective laser melting (SLM)-fabricated lattice structures. By investigating the effects of crucial process parameters, strut diameter and angle on the microstructure and mechanical performance of AlSi10Mg struts, the research seeks to enhance the surface morphologies, microstructures and mechanical properties of AM lattice structures, enabling their application in various engineering fields, including medical science and space technologies.

This comprehensive study investigates SLM-fabricated AlSi10Mg strut structures, examining the effects of process parameters, strut diameter and angle on densification behavior and microstructural characteristics. By analyzing microstructure, geometrical properties, melt pool morphology and mechanical properties using optical microscopy, scanning electron microscope, energy dispersive X-ray spectroscopy and microhardness tests, the research addresses existing gaps in knowledge on fine lattice strut elements and their impact on surface morphology and microstructure.

The study revealed that laser energy, power density and strut inclination angle significantly impact the microstructure, geometrical properties and mechanical performance of SLM-produced AlSi10Mg struts. Findings insight enable the optimization of SLM process parameters to produce lattice structures with enhanced surface morphologies, microstructures and mechanical properties, paving the way for applications in medical science and space technologies.

This study uniquely investigates the effects of processing parameters, strut diameter and inclination angle on SLM-fabricated AlSi10Mg struts, focusing on fine lattice strut elements with diameters as small as 200 µm. Unlike existing literature, it delves into the complex correlations among strut size, structural orientation and process parameters to understand their impact on microstructure, geometrical imperfections and mechanical properties. The study provides novel insights that contribute to the optimization of SLM process parameters, moving beyond the typically recommended guidelines from powder or machine suppliers.

This study constructs an efficiency evaluation framework for assessing the human, structural and relational capital in the semiconductor industry of Taiwan. Furthermore, we analyze whether there are significant differences in efficiency across different levels concerning the industry supply chain (upstream, midstream and downstream), employee service tenure, capital scale and company establishment years.

This study focuses on Taiwanese semiconductor companies, utilizing data sourced from the Taiwan Economic Journal (TEJ) Database for the period spanning 2017 to 2021, encompassing a total of five years. Due to the nondisclosure of intangible asset values by all companies, an effort was made to ensure a comparable baseline by excluding companies with incomplete or missing data. Finally, empirical analysis was conducted on a sample of 64 companies using the dynamic network data envelopment analysis method.

(1) Overall efficiency demonstrates structural capital as the most prominent, followed by relational capital, while human capital shows relatively poorer efficiency. (2) To enhance the efficiency of intellectual capital, priority should be given to improving the efficiency of outputs related to intellectual property rights such as patents. (3) The midstream segment exhibits the best efficiency in both structural and relational capital. (4) Companies with longer employee service tenures exhibit superior efficiency in human capital in the long run. (5) Companies with extended establishment years and larger capital scales demonstrate superior efficiency in both human and structural capital.

Reflecting on past literature, scholars have primarily focused on the relationship between intellectual capital and firm efficiency, often emphasizing the overall efficiency of intellectual capital. However, within organizations, human capital, structural capital, and relational capital are interrelated. This study, for the first time, assesses the efficiency of these three components within an organization. The research addresses the challenges in analyzing the efficiency of intellectual capital and introduces a highly contemporary approach – dynamic network data envelopment analysis (DNDEA). Using the semiconductor industry in Taiwan as a case study, this paper conducts empirical analysis in a captivating and worthy industry. Therefore, the ideas presented in this paper are original.