Tag: process optimization

A new voxel-based framework automates life cycle assessment for laser powder bed fusion by using part volume and height to ...

A statistical review of published optimization studies identifies ozone dose and pollutant concentration as the key drivers of ozonation, with ...

A new review argues that pairing cheap waste substrates with statistical and AI-driven optimization could finally make microbial biosurfactants economically ...

Researchers printing pure copper with a 535 nm green laser found that matching laser power to scan speed, rather than ...

A laboratory study using machine learning to optimize hydrothermal production of carbon quantum dots from tea processing waste reported a ...

A review synthesizes finite element modeling, artificial intelligence and digital-twin research for additive manufacturing of refractory alloys while identifying unresolved ...

A study of 306 microfluidic liposome formulations found that gradient boosting predicted polydispersity better than one prior benchmark and identified ...

Researchers at the Singapore University of Technology and Design have shown that infrared-assisted automated fiber placement can manufacture carbon fiber-polycarbonate ...

Every production process is, at its core, a black box. Engineers set parameters such as temperatures, pressures, feed rates, and ...

Chinese researchers show that ultrasonic vibration-assisted milling can machine hardened internal keyways in bearing steel with sub-micron surface finish, tight ...

Researchers have statistically optimized laser cladding parameters to bond crack-free Ni625 coatings onto ductile iron for nuclear fuel container applications.

Researchers in India combined µEDM drilling experiments on titanium with benchmarked machine learning models, explainable AI, and a surrogate-based inverse ...

Researchers have combined artificial neural networks with genetic algorithms to model and optimize multistage palm oil fractional crystallization, achieving prediction ...

A machine learning framework combining random forest prediction, neural network defect screening, and evolutionary optimization raised casting qualification rates to ...

In the world of sustainable bioprocessing, innovative approaches are constantly being developed to optimize the production of biopolymers, which are ...