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The purpose of this paper is to provide a new procedure for in-plane compensation of geometric errors that often appear in the layers deposited by an additive manufacturing (AM) process when building a part, regardless of the complexity of the layer geometry.

The procedure is based on comparing the real layer contours to the nominal ones extracted from the STL model of the part. Considering alignment and form deviations, the compensation algorithm generates new compensated contours that match the nominal ones as closely as possible. To assess the compensation effectiveness, two case studies were analysed. In the first case, the parts were not manufactured, but the distortions were simulated using a predictive model. In the second example, the test part was actually manufactured, and the distortions were measured on a coordinate measuring machine.

The geometric deviations detected in both case studies, as evaluated by various quality indicators, reduced significantly after applying the compensation procedure, meaning that the compensated and nominal contours were better matched both in shape and size.

Although large contours showed deviations close to zero, dimensional overcompensation was observed when applied to small contours. The compensation procedure could be enhanced if the applied compensation factor took into account the contour size of the analysed layer and other geometric parameters that could have an influence.

The presented method of compensation is applicable to layers of any shape obtained in any AM process.

The lack of geometric and dimensional accuracy of parts produced by additive manufacturing (AM) is directly related to the machine, material and process used. This paper aims to propose a method for the analysis and compensation of machine-related geometric errors applicable to any AM machine, regardless of the manufacturing process and technology used.

For this purpose, an error calculation model inspired by those used in computerized numerical control machines and coordinate measuring machines was developed. The error functions of the model were determined from the position deviations of a set of virtual points that are not sensitive to material and process errors. These points were obtained from the measurement of an ad hoc designed and manufactured master artefact. To validate the model, off-line compensation was applied to both the original designed artefact and an example part.

The geometric deviations in both cases were significantly smaller than those found before applying the geometric compensation. Dimensional enhancements were also achieved on the example part by using a correction parameter available in the three-dimensional printing software, whose value was adjusted from the measurement of the geometrically compensated master artefact.

The errors that persist in the part derive from both material and process. Compensation for these type of errors requires a detailed analysis of the influencing parameters, which will be the subject of future research.

The use of the virtual-point-based error model increases the quality of additively manufactured parts and can be used in any AM system.

The purpose of this paper is to study planar sensor geometries for the measurement of film thickness in a viscous oil–water flow. The study is relevant due to there are only a few measurement techniques for oil-water flow and these techniques involve oil with low viscosity (close to the water viscosity). Specifically, some techniques have been used in the studies of annular flow (gas–liquid and liquid–liquid flows), but applications in other flow patterns were not encountered.

Different sensor geometries were numerically simulated to compare their characteristics and choose the best to measure the water film thickness in the oil–water flow through an impedance-based technique. Finite element method was used for resolving the tridimensional electric field over each sensor. The compared characteristics were the penetration depth, the sensitivity, the minimum spatial resolution (high spatial resolution) and the quasi-linear curve.

The best geometry tested has a spatial resolution of 2 × 2 mm, a penetration depth of 700 µm and a quasi-linear response in the measuring range. This geometry was tested by means of conductance and capacitance static experiments. From these experiments, it could be determined that conductance and the capacitance systems are promising for measuring water film thickness in an oil–water flow.

Several measurement techniques such as micro-PIV, planar laser-induced fluorescence and planar conductive or capacitive sensors that are supposed to be adaptable to the liquid–liquid flow have been proposed recently. Micro-PIV and planar-induced fluorescence need transparent pipes and fluids. On the other hand, conductive or capacitive methods have been only applied to low viscosity fluids. In that context, this paper proposes to study a new technique for non-intrusive measurement of the liquid-liquid flow. The main goal is the validation of the new planar sensor as a reference tool for the development of instrumentation for oilfield application.

As has been widely recognized in the literature, the post‐war economic boom which drew to a close by the early 1970s has been followed by an intense period of industrial restructuring characterized by marked instability in all three major spheres of economic activity: production, distribution, and finance. This process has taken place both at the global level and at the level of national economies (Cardenas, 1990). It reflects a profound change in the mode of capitalist accumulation. Prior to the current round of restructuring, accumulation was taken to be principally the inward‐oriented task of each nation's own economy. Now, it seems that successful capital accumulation (i.e. development) depends most upon a nation's competitive integration into the world market for goods and services (Garrido, 1995). The present mode of accumulation implies an opening of national economies to international trade in commodities and capital, both among the advanced industrial nations and between the industrialized and the newly‐industrializing countries. This has generated a heightened degree of competition among countries and among firms, given that the easy movement of capital, goods, and services has allowed for real competition to emerge among dispersed places around the globe based upon their comparative financial and productive advantages.

This study aims to appraise the historical evolution of tourism research focused on Spain. Firstly, an analysis was conducted to assess the production and impact of research within this domain. Secondly, scientific mapping, specifically through co-word analysis, was used to identify and explore the principal research themes and their evolution in the field.

A historical approach was adopted in this study, using 1,100 bibliographic records obtained from the Scopus database. Science mapping was then conducted through co-word analysis of bibliographic data.

The results of the performance analysis provide insights into the volume, evolution and impact of the scientific documents published within the research area under investigation. Moreover, by adopting a longitudinal approach, science mapping through co-word analysis enables the definition of the intellectual structure within this research domain. In this regard, the main research themes are identified, conceptually assessed, and their evolution is examined across three distinct window periods: an initial research period (1972–2002), a growing research period (2003–2012) and a consolidation period (2013–2022).

The study provides a state-of-the-art position on tourism research related to Spain thus guiding future studies in the area. Furthermore, this study provides a comprehensive “snapshot” of the historical progression of tourism research in Spain, capturing the emblematic aspects that have emerged within the area over the investigated time period.

As global concerns for sustainability have gained traction in all sectors of every economy including agribusiness, the need to investigate the critical barriers that could hamper this novelty has also risen. In that regard, this study presents a comprehensive overview of the dominant barriers encountered by agribusinesses to ensure long-term success through the lenses of a literature review.

The study used a systematic literature review (SLR) of 43 relevant articles. The study applies content analysis to identify and analyze the selected articles. The conceptual framework underlines the three principal barriers to sustainable agribusinesses.

The results from the SLR demonstrates that inadequate financial support, excessive post-harvest loss, gender inequality, non-climate-smart policies and weak institutional controls constitute the major challenges to the sustainability of agribusinesses.

The study is limited in scope to barriers to the sustainability of agribusiness only not the broad spectrum of the concept of agriculture.

This study's uniqueness is twofold. First, it provides a checklist for practice with the goal of addressing problems that hamper the sustainability of agribusinesses. Second, the findings and research gaps in this study are important to support future studies.

The purpose of this paper is to evaluate a continuous improvement project (CIP) at a Mexican university designed to increase engineering graduate student loyalty.

A plan-do-check-act problem-solving methodology was implemented, and a SERVQUAL survey was conducted on 67 master’s engineering students.

Five factors were found to affect student loyalty: facility cleanliness; faculty teaching skills; evening student services; master’s degree student management roles at work; and master’s degree students’ ages. After the implementation of the improvement and control actions, there was a 7.7% increase in the engineering master’s degree students’ loyalty scores.

However, there were several research limitations: data availability (such as student loyalty, student satisfaction and a small master’s degree student population size) and factors outside the CIP’s scope (such as the country’s economic situation, university rankings, master’s programme accreditations and COVID-19).

The findings from this research study could be used by other higher education institutions (HEIs)to improve student loyalty and as a reference when conducting similar studies in other service organisations such as hospitals and hotels.

This research work took a different approach in assessing student satisfaction and student loyalty in a HEI by using the SERVQUAL survey as the data collection instrument for conducting CIP.