Resource saving by optimization and machining environments for sustainable manufacturing: A review and future prospects

DY Pimenov, M Mia, MK Gupta, ÁR Machado… - … and Sustainable Energy …, 2022 - Elsevier
The most important aspect of sustainability in manufacturing is the preservation of energy
and natural resources. For modern production, optimized processes that minimize negative …

Cooling techniques to improve the machinability and sustainability of light-weight alloys: A state-of-the-art review

M Sarikaya, MK Gupta, I Tomaz, M Danish… - Journal of Manufacturing …, 2021 - Elsevier
A well-acknowledged role of cutting fluids in any cutting operation has made them inevitable
to utilize regarding the provision of adequate cooling and lubrication. Mineral-based cutting …

Predicting residential energy consumption using CNN-LSTM neural networks

TY Kim, SB Cho - Energy, 2019 - Elsevier
The rapid increase in human population and development in technology have sharply
raised power consumption in today's world. Since electricity is consumed simultaneously as …

Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models

A Agga, A Abbou, M Labbadi, Y El Houm - Renewable Energy, 2021 - Elsevier
Global electricity consumption has raised in the last century due to many reasons such as
the increase in human population and technological development. To keep up with this …

Fuzzy mathematical programming and self-adaptive artificial fish swarm algorithm for just-in-time energy-aware flow shop scheduling problem with outsourcing option

EB Tirkolaee, A Goli, GW Weber - IEEE transactions on fuzzy …, 2020 - ieeexplore.ieee.org
Flow shop scheduling (FSS) problem constitutes a major part of production planning in
every manufacturing organization. It aims at determining the optimal sequence of processing …

A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of US

W Qiao, W Liu, E Liu - Energy, 2021 - Elsevier
The prediction model's performance in view of the wavelet transform (WT) is affected
because the wavelet basis function (WBF) and its orders and layers are determined …

Sustainable milling of Ti–6Al–4V: A trade-off between energy efficiency, carbon emissions and machining characteristics under MQL and cryogenic environment

M Jamil, W Zhao, N He, MK Gupta, M Sarikaya… - Journal of cleaner …, 2021 - Elsevier
The urgent need for an innocuous and sustainable machining system is essential in this
modern manufacturing era. Therefore, a study is devoted to fulfilling a missing bridge …

Dry machining: a step towards sustainable machining–challenges and future directions

GS Goindi, P Sarkar - Journal of cleaner production, 2017 - Elsevier
Manufacturing activity is a major consumer of energy and natural resources. In machining
process, a large amount of heat is produced whose removal requires the use of suitable …

Predicting household electric power consumption using multi-step time series with convolutional LSTM

L Cascone, S Sadiq, S Ullah, S Mirjalili, HUR Siddiqui… - Big Data Research, 2023 - Elsevier
Energy consumption prediction has become an integral part of a smart and sustainable
environment. With future demand forecasts, energy production and distribution can be …

[HTML][HTML] Implementation of green cooling/lubrication strategies in metal cutting industries: A state of the art towards sustainable future and challenges

ME Korkmaz, MK Gupta, NS Ross… - Sustainable Materials and …, 2023 - Elsevier
While the metal cutting industrial sector is essential for global economic growth, it also has a
major impact, such as cutting tools, cooling and lubrication environments, improved cutting …