Energy harvesting from water flow or evaporation is recently reported exploiting carbon‐based materials. The water‐carbon dualism is at the base of this phenomenon thanks to a charge redistribution at the liquid/solid interface. Many kinds of approaches and nanomaterials are proposed for this purpose. The main properties under investigation are the surface functionalization and the porosity of carbon‐based materials. In this context, the exploitation of a stacked graphene oxide (GO) membrane as layered nanochannels for water flow energy harvesting is proposed. At the best of this study's knowledge, GO membranes are never reported for this application. The flow is spontaneously induced by both capillarity and evaporation when part of the membrane is incubated in water. In this study, zero‐energy is externally provided allowing sustainable energy production without sub‐products. Different GO membranes are tested for this purpose reaching a maximum open circuit voltage of ≈450 mV and maximum current of ≈100 nA.
The focus of this study was the investigation of the quasi-simultaneous laser welding (QSW) technique of polymethyl methacrylate (PMMA) and acrylonitrile butadiene styrene (ABS) in a T-joint configuration using a circular wobble laser path. The main aim was to find how laser parameters, such as scanning speed, number of scans, and laser power, influence key indicators of weld quality: penetration depth and weld strength. A range of scanning speeds (1–2 m/s) and scan repetitions (20–70) was explored, with the goal of keeping the total welding time around 1 s, a time compatible with industrial mass production. The results demonstrated a clear correlation between linear energy density and penetration depth. Deeper penetrations were achieved at higher energy levels. Weld strength was maximized with a lower number of scans (20) and higher powers (above 130 W). The configuration offering the best combination of weld strength (1137 N) and total welding time (0.8 s) was identified, demonstrating the suitability of QSW for mass production.