Art as a Vehicle for Compassion

I address the range of human experience and emotion in watercolor paintings. Watercolor, much like emotions, is unpredictable and requires special care to harness its infinitely varied and nuanced complexities. Creating such works requires forgiveness in how water and pigment interact, as well as the physical manifestation of subjective experience. These emotional paintings express topics ranging from gender and cultural identity, to mundane life experience. Vulnerability and empathy are required to portray hardship and loss in a manner that honors humanity’s lived experience. Working beyond the boundaries codified by narrative realism, this work seeks to offer a glimpse into the realm of the unknown. My primary themes focus on aspirations, secrets, and dreamlike qualities. For this reason, I call my work ethereal realism. These fleeting moments of inspiration, while difficult to grasp and attuned to distant memories, are fortified through an improvisational painting process. Using subtle symbolism in relation to nature and soft feminine figures, I invite the audience into an alternate space where trauma can be healed, and compassion takes hold. The paintings also make use of negative space, so that viewers can insert themselves in the paintings and infer what might lie beyond humanity. This work does not merely paint a picture of melancholy but opens a window to the divine.

Ship Painting Process Design Based on IDBSACN-RF

The painting process is an essential part of the shipbuilding process. Its quality is directly related to the service life and maintenance cost of the ship. Currently, the design of the painting process relies on the experience of technologists. It is not conducive to scientific management of the painting process and effective control of painting cost. Therefore, an intelligent design algorithm for the ship painting process is proposed in this paper. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to form categories of painting objects by cluster analysis. The grey wolf optimization (GWO) is introduced to realize the adaptive determination of clustering parameters and avoid the deviation of clustering results. Then, a painting object classification model is constructed based on the random forest (RF). Finally, the recommendation of the painting process is realized based on the multi-objective evaluation function. Effectiveness is verified by taking the outer plate above the waterline of a shipyard H1127/7 as the object. The results show that the performance of DBSCAN is significantly improved. Furthermore, the accurate classification of painting objects by RF is achieved. The experiment proves that the dry film thickness qualification rate obtained by the painting process designed by IDBSCAN-RF is 92.3%, which meets the requirements of the performance standard of protective coatings (PSPC).

Minimizing deviations of car sequencing in a JIT production painting line

Purpose The first in first out (FIFO) rule is an indispensable rule in the automotive industry. However, during production, the order of coming to welding operation and exiting through the painting operation is broken. Consequently, the rule of FIFO also gets broken. The purpose of this paper is to eliminate the deviations of the automotive painting process in a just in time (JIT) environment. Design/methodology/approach The paper has been solved using observations and expert’s opinions and recorded data in the real problem area. Bypass technique and express line have been used as a real problem for the minimization of these deviations. The current process and the bypass process have been compared with simulation optimization. Findings This paper provides analytical insights about how to prevent delays during the JIT production painting process. Delays have been prevented by using the bypass technique and express line together. The number of delays reduced with an improvement of 129. The ratio of effect (for four months) has been founded to be 0.12. The output rate has been increased from 80% to 89%. Research limitations/implications This paper focused on the number of vehicles in the cooling area of the painting process in the study; there may occur bottleneck processes or products. It does not contain station-based bottleneck processes. Practical implications From the real-case problem, one will see that the bypass technique and the express line can be applied and generalized to many similar problems and help companies conduct their assembly lines more efficiently. Originality/value This paper is the only example that has been used to bypass technique and express line together on the paint/cooling process in a JIT production system.

Development of cost-effective IoT module-based pipe classification system for flexible manufacturing system of painting process of high-pressure pipe

This paper researches an IoT module-based pipe classification system for a flexible manufacturing system that recognizes the size and length of pipes used in the painting process of high-pressure pipes. The proposed system is composed of an IoT module, USB camera, and edge TPU for pipe classification. The proposed system recognizes the type of pipe by three processes; object detection of the pipe, line detection algorithm of the three regions of interest, and pipe classification algorithm based on the line detection algorithm. Furthermore, the proposed system enables web-based real-time monitoring, providing convenience to workers and helping them make quick decisions. The IoT module interfaces with the painting robot and the sequence control that paints for each type of pipe is executed in the painting robot, allowing flexible manufacturing of the painting process.

Effect of Accelerator Addition on the Drying Time, Thickness and Glossy Clear Coat in Vehicle’s Body

Painting is the application of paint in liquid form onto the object, to create a thin layer which is then dried to form a hard layer or layers of paint. Many things are influential in the painting process, including the clear coat process which functions as a gloss effect and protects and maintains the paint color of the vehicle. In this research, it was expected to know the effect of the ratio between the thinner and accelerator on the clear coat on drying time, thickness, and glossiness of the clear coat. In this study, the mixture ratio variations of accelerator and thinner used were 0%: 100%, 25%: 75%, 50%: 50%, 75%: 25%. The speeds of drying with the aforementioned ratio of accelerator and thinner were 28 mins, 24 mins, 18 mins, and 16 mins respectively, while the values of the thickness of the ratio were 53, 4 µm, 55.6 µm, 54.03 µm, and 57.1 µm respectively, and the glossiness values of the accelerator and thinner with the ratio were 96.1 Gu, 95.4 Gu, 92.5 Gu, and 93.1 Gu respectively.