Results 191 to 200 of about 1,780,875 (305)

Resource use efficiency of indoor lettuce (Lactuca sativa L.) cultivation as affected by red:blue ratio provided by LED lighting. [PDF]

open access: yesSci Rep, 2019
Pennisi G   +11 more
europepmc   +1 more source

Characterization of a Recyclate‐Based MgO‐Steel Composite As‐Sintered Inert Anode Candidate After Exposure to Cryolite Electrolysis

open access: yesAdvanced Engineering Materials, EarlyView.
Carbon‐free inert anodes are essential for decarbonizing aluminum electrolysis. This study investigates a recyclate‐based MgO‐316L steel composite anode tested under galvanostatic Hall–Héroult conditions in cryolite at 1000°C. Microstructural analysis reveals selective MgO fluorination, spinel and oxide layer formation, electrolyte infiltration, and ...
Serhii Yaroshevskyi   +7 more
wiley   +1 more source

Unraveling the Role of Red:Blue LED Lights on Resource Use Efficiency and Nutritional Properties of Indoor Grown Sweet Basil. [PDF]

open access: yesFront Plant Sci, 2019
Pennisi G   +12 more
europepmc   +1 more source

Corrosion and Process Analysis of a Preoxidized MgO Recyclate‐Based Cermet Anode in Laboratory‐Scale Na‐Cryolite Molten Salt Electrolysis of Aluminum at 1000°C

open access: yesAdvanced Engineering Materials, EarlyView.
EDX elemental map of the pre‐oxidized MgO–steel cermet anode cross section after electrolysis. The development of inert anodes for aluminum electrolysis remains challenging due to the high corrosivity of cryolite‐based melts at 950°C–1000°C. This study investigates the corrosion and process behavior of a carbon‐free MgO–steel cermet anode derived from ...
Alexander Adamczyk   +7 more
wiley   +1 more source

Resource productivity and resource use efficiency in wheat production

open access: yesINTERNATIONAL JOURNAL OF COMMERCE AND BUSINESS MANAGEMENT, 2015
P. U. KAUTHEKAR   +2 more
openaire   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

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