Industry 4.0: Challenges of Mechanical Engineering for Society and Industry

Setiyo, Muji; Purnomo, Tuessi Ari; Yuvenda, Dori; Biddinika, Muhammad Kunta; Sidik, Nor Azwadi Che; Samuel, Olusegun David; Kolakoti, Aditya; Calam, Alper

doi:10.31603/mesi.5309

Cited by 18 publications

(8 citation statements)

References 7 publications

(7 reference statements)

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“…However, many of them and their applications have foundations in disciplines such as electronics, electricity, computing, control and mechanics, among others. These disciplines do not have clear limits of application and can be combined with each other [56]; for example, a classic combination between disciplines is Mechatronics (the integration of mechanics, electronics and computing). Mechanical Engineering is essential in Industry 4.0, as many of the physical assets that are required for production are designed and developed considering the science and engineering of mechanics.…”

Section: Mechanical Engineering and The Industrial Revolutionsmentioning

confidence: 99%

Mechanics 4.0 and Mechanical Engineering Education

López,

Leyva,

López

et al. 2024

Machines

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Industry 4.0 is an industrial paradigm that is causing changes in form and substance in factories, companies and businesses around the world and is impacting work and education in general. In fact, the disruptive technologies that frame the Fourth Industrial Revolution have the potential to improve and optimize manufacturing processes and the entire value chain, which could lead to an exponential evolution in the production and distribution of goods and services. All these changes imply that the fields of engineering knowledge must be oriented towards the concept of Industry 4.0, for example, Mechanical Engineering. The development of various physical assets that are used by cyber-physical systems and digital twins is based on mechanics. However, the specialized literature on Industry 4.0 says little about the importance of mechanics in the new industrial era, and more importance is placed on the evolution of Information and Communication Technologies and artificial intelligence. This article presents a frame of reference for the importance of Mechanical Engineering in Industry 4.0 and proposes an extension to the concept of Mechanics 4.0, recently defined as the relationship between mechanics and artificial intelligence. To analyze Mechanical Engineering in Industry 4.0, the criteria of the four driving forces that defined mechanics in the Third Industrial Revolution were used. An analysis of Mechanical Engineering Education in Industry 4.0 is presented, and the concept of Mechanical Engineering 4.0 Education is improved. Finally, the importance of making changes to the educational models of engineering education is described.

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Section: Mechanical Engineering and The Industrial Revolutionsmentioning

confidence: 99%

Mechanics 4.0 and Mechanical Engineering Education

López,

Leyva,

López

et al. 2024

Machines

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show abstract

“…Akurasi dan error nilai pembacaan sistem memiliki persentase pembacaan akurasi sensor yang tinggi sementara nilai error pembacaan sensor sistem kecil sehingga sensor dapat dikatakan berkerja dengan baik dalam membaca nilai parameter kualitas air. Sistem memiliki kemampuan untuk melakukan pembacaan jarak jauh dengan menggunakan aplikasi android selama sistem terkoneksi dengan jaringan Wireless Fidelity (WiFi) dan aplikasi android terkoneksi dengan internet, sehingga kini kegiatan monitoring kualitas air dapat dilakukan tanpa terhalangi faktor jarak, waktu dan cuaca sebagai implementasi dari revolusi industry 4.0 [22].…”

Section: Kesimpulanunclassified

Automatic Water Quality Monitoring System With Real-Time Data Type Based on Internet of Things (IOT) for Vannamei Shrimp Farming

Sobri

Prayitno

Basino

et al. 2021

UJE

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Water quality is an important factor in supporting the success of vanname shrimp farming. The automatic water quality monitoring system is designed using two hardware, namely the DS18B290 temperature sensor to measure water temperature, the E-201 BNC pH meter kit sensor to measure water pH, and the TDS meter sensor. gravity Dfrobot to measure the salinity of the water, and the RED Turbidity MJKDZ sensor to measure the turbidity of the water, as the data sending hardware (transmitter). Arduino Mega2560 microcontroller, NodeMCU esp8266 as receiver and data processing hardware (reciver). The automatic water quality monitoring system is also designed using three software, namely Arduino IDE software as the main hardware program, ThingSpeak software as a database and MIT APP Inventor software as application development software. The test results for the level of accuracy and error of sensor measurements on water quality monitoring tools show that the sensor has a very good percentage of performance with the temperature sensor accuracy reaching 98.67%, the sensor reaching pH 99.35%, the salinity sensor reaching 99.28%. Meanwhile, the temperature sensor measurement error rate is only 1.32%, the pH sensor is only 0.64% and the salinity sensor is only 0.71%.

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“…On the other hand, algae cultivation in fresh water and wastewater [9,10] is also popular. Currently, with the advent of the latest technology from industry 4.0 [11], the maximum benefit of extracting the oil from microalgae and converting it to biodiesel is made more economical with the latest optimization and artificial intelligence (AI) tools [12][13][14]].…”

Section: Introductionmentioning

confidence: 99%

Preparation and physicochemical properties of naturally grown green Spirogyra algae biodiesel

Kalyani

Prasad

Kolakoti³

2023

CI&CEQ

Self Cite

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In this study, biodiesel was produced from a naturally grown green algae (spirogyra). The algae were cultivated in an open pond for 180 days without any fertilizers or nutrients. The dried algae powder to oil yield and significant fuel properties of viscosity, density, cetane number, calorific value, flash point, pour and cloud points are investigated for B10 to B100 blends. The results of solvent oil extraction show that at a 1:2 (algae powder to solvent) ratio and 65oC, algae oil yield was observed as 22.66%. Furthermore, Box-Behnken assisted response surface optimization technique was implemented. From the 29 random experiments, 96.24% spirogyra algae oil biodiesel (SAOBD) yield was achieved under the optimum conditions of 50oC, 180 minutes, the molar ratio of 9:1 and catalyst concentration of 0.5 wt%. The fatty acid composition (FAC) by gas chromatography reveals that 73.95 wt% saturated FAC was observed in SAOBD. The significant fuel properties are measured by following ASTM-D6751 standards and 40% SAOBD in diesel fuel could possibly be an optimum blend ratio for engine experimentation. Finally, regression equations with high correlation coefficients (R2) were developed for the fuel properties to predict the various blend ratios.

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Industry 4.0: Challenges of Mechanical Engineering for Society and Industry

Cited by 18 publications

References 7 publications

Mechanics 4.0 and Mechanical Engineering Education

Mechanics 4.0 and Mechanical Engineering Education

Automatic Water Quality Monitoring System With Real-Time Data Type Based on Internet of Things (IOT) for Vannamei Shrimp Farming

Preparation and physicochemical properties of naturally grown green Spirogyra algae biodiesel

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