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Domain-specific languages (DSL) are programming or modeling languages devoted to a given application domain. There are many tools used to support the implementation of a DSL, making hard the decision-making process for one or another. In this sense, identifying and mapping their features is relevant for decision-making by academic and industrial initiative on DSL development. Objective: The goal of this work is to identify and map the tools, Language Workbenches (LW), or frameworks that were proposed to develop DSLs discussed and referenced in publications between 2012 and 2019. Method: A Systematic Mapping Study (SMS) of the literature scoping tools for DSL development. Results: We identified 59 tools, including 9 under a commercial license and 41 with non-commercial licenses, and analyzed their features from 230 papers. Conclusion: There is a substantial amount of tools that cover a large number of features. Furthermore, we observed that usually, the developer adopts one type of notation to implement the DSL: textual or graphical. We also discuss research gaps, such as a lack of tools that allow meta-meta model transformations and that support modeling tools interoperability.

Considering the current characteristics of rotary actuators for Unmanned Underwater Vehicles (UUVs) - where there are many types of actuators but small delivery quantities per type - a universal vibration fixture that can be shared by multiple types of rotary actuators is designed to improve the cost-effectiveness of vibration fixtures. Numerical simulation analysis of the vibration transmission performance of the universal vibration fixture is conducted via ANSYS Workbench. The simulation results show that the universal vibration fixture can satisfy the transmission requirements of the sinusoidal vibration excitation, and provide a theoretical basis for the application of the universal vibration fixture and the reduction of vibration fixture costs. Meanwhile, some follow-up work still needs to be carried out in future research, such as the durability and lightweight design of the universal vibration fixture.

Downhole gas compression (DGC) is a new type of artificial lifting technology. DGC can reduce the gas inlet pressure and increase the gas outlet pressure by using the DGC system. It finally achieves the goal of increasing the production and recoverable reserves of the gas well, and improving the wellbore production effect. The DGC system contains three parts, the downhole axial gas compressor, the drive motor and the transmission mechanism. The downhole axial gas compressor is a key component to achieve gas compression, and it needs to be simulated and analysed during structure design. In this study, ANSYS Workbench was used to conduct modal analysis and strength evaluation on the rotor of designed downhole axial gas compressor. Firstly, the composition of the DGC system was introduced, the necessity of modal analysis and strength evaluation of downhole axial gas compressor was discussed. Then, the modal analysis and solving process were analysed theoretically, and the theoretical modal analysis results were obtained. Finally, ANSYS Workbench was used to analyse the modal analysis of the rotor as a whole of the downhole axial gas compressor, and the strength evaluation of a single rotor was conducted. The simulated results indicated that the designed downhole axial gas compressor would not resonate when the rotor was running at 34000r/min. The maximum stress of the rotor was 73.79MPa, which was smaller than its yield strength, and the structural strength of the rotor met the design requirements. The designed downhole axial gas compressor meets the working requirements.

Domain-specific languages (DSLs) promise to improve the software engineering process, e.g., by reducing software development and maintenance effort and by improving communication, and are therefore seeing increased use in industry. To support the creation and deployment of DSLs, language workbenches have been developed. However, little is published about the actual added value of a language workbench in an industrial setting, compared to not using a language workbench. In this paper, we evaluate the productivity of using the Spoofax language workbench by comparing two implementations of an industrial DSL, one in Spoofax and one in Python, that already existed before the evaluation. The subject is the Open Interaction Language (OIL): a complex DSL for implementing control software with requirements imposed by its industrial context at Canon Production Printing. Our findings indicate that it is more productive to implement OIL using Spoofax compared to using Python, especially if editor services are desired. Although Spoofax was sufficient to implement OIL, we find that Spoofax should especially improve on practical aspects to increase its adoptability in industry.

PurposeThe purpose of this study is to achieve multi-variety and small-batch assembly through direct cooperation between equipment and people and to improve assembly efficiency as well as flexibility.Design/methodology/approachFirstly, the concept of the human–computer interaction is designed. Secondly, the machine vision technology is studied theoretically. Skin color filter based on hue, saturation and value color model is put forward to screen out images that meet the skin color characteristics of the worker, and a multi-Gaussian weighted model is built to separate moving objects from its background. Both of them are combined to obtain the final images of the target objects. Then, the key technology is applied to the smart assembly workbench. Finally, experiments are conducted to evaluate the role of the human–computer interaction features in improving productivity for the smart assembly workbench.FindingsThe result shows that multi-variety and small-batch considerable increases assembly time and the developed human–computer interaction features, including prompting and introduction, effectively decrease assembly time.Originality/valueThis study proves that the machine vision technology studied in this paper can effectively eliminate the interferences of the environment to obtain the target image. By adopting the human–computer interaction features, including prompting and introduction, the efficiency of manual operation is improved greatly, especially for multi-variety and small-batch assembly.

To achieve a more accurate analysis of the positioning accuracy of the feed system in CNC machine tools, this study employs the lumped parameter method combined with the Lagrange equation to establish an electromechanical coupling dynamic model of the linear axis feed system. This model allows parameter correction of intermediate components within the system, significantly enhancing the model’s accuracy. To validate the model’s accuracy, a simulation analysis and comparative experiment were conducted using a laboratory-constructed linear axis workbench as an example. The results demonstrated that the analysis outcomes of the parameter-corrected model were more consistent with the experimental results. Subsequently, simulation analyses based on the model were performed to explore the effects of different factors on workbench displacement. The findings revealed that the torsional stiffness of the motor shaft has a substantial impact on workbench displacement, while the axial stiffness of the screw shaft has a minimal effect. The position loop gain does not affect workbench displacement. This study provides theoretical support for further in-depth analysis of the dynamic characteristics of machine tool feed systems and for suppressing dynamic errors.

Based on the finite element analysis software of ANSYS Workbench, the sealing performance of a V-shaped seal ring is analyzed. It is found that the position of the maximum shear stress of the V-shaped seal ring is on both sides of the bottom of the opening. Then, the effects of root height h and opening arc diameter D on the maximum shear stress and maximum contact pressure of the seal ring are studied, and the parameters are optimized accordingly. Further, the ultimate working pressure of the optimized structure is analyzed. The results show that the maximum shear stress and maximum contact pressure of the seal ring increase with the root height, but there is a downward inflection point at h-0.2. The maximum shear stress of the seal ring increases with the opening arc diameter, but there is a rising inflection point at D-0.2. Further, the maximum contact pressure of the seal ring first increases rapidly and then increases slowly with the opening diameter. The working oil pressure that the V-shaped seal ring can bear is 1.3 MPa. The simulation results can guide the design of the V-shaped seal ring.

Model-driven software engineering and specifically domain-specific languages have contributed to improve the quality of software and the efficiency in the development of software. However, the design and implementation of domain-specific languages requires still an enormous investment. Language workbenches are the most important tools in the field of software language engineering. The introduction of language workbenches has alleviated partly the development effort, but there are still a few major challenges that need to be tackled. This paper presents a personal perspective on the development of tools for language engineering and language workbenches in particular and future challenges to be tackled.

The aim of the article is to estimate the fatigue strength of T6-treated A356/SiCp composite for 10 5 cycles experimentally and compared the estimated value numerically. For the experimental estimation staircase method was used and for the numerical method ANSYS Workbench R2023. For this, a composite of A356/SiC p was fabricated using the stir-casting technic. The fabricated composite was T6 heat treated, and its UTS value was determined. 30 % of the UTS value was arbitrarily chosen as the initial stress value for the fatigue strength estimation. The model with the same dimensions was created in Solid Works 2017 and the fatigue tool in the ANYS Workbench R2023 was used for the numerical analysis.

Ecologists use a wide variety of metrics and software tools to quantify and map spatial patterns in ecological data. For analysis of categorical raster data, we introduce the GuidosToolbox Workbench (GWB), a series of Linux‐based command‐line modules, implementing popular algorithms from the interactive GuidosToolbox desktop application. We provide an overview of the workbench design, features of the individual modules, and an example implementation on the FAO SEPAL cloud computing environment.