Maxon Motor (Switzerland)

Disrupted biological function, manifesting through the hallmarks of aging, poses as one of the largest threats to healthspan and risk of disease development, such as metabolic disorders, cardiovascular ailments, and neurodegeneration. In recent years, numerous geroprotectors, senolytics, and other nutraceuticals have emerged as potential disruptors of aging and may be viable interventions in the immediate state of human longevity science. In this review, we focus on the decrease of nicotinamide adenine dinucleotide (NAD+) with age and the supplementation of NAD+ precursors, such as nicotinamide mononucleotide (NMN) or nicotinamide riboside (NR), in combination with other geroprotective compounds to restore youthful NAD+ levels. Furthermore, these geroprotectors may enhance the efficacy of NMN supplementation while concurrently providing their own numerous health benefits. By analyzing the prevention of NAD+ degradation through inhibition of CD38 or supporting protective downstream agents of SIRT1, we provide a potential framework of the CD38/NAD+/SIRT1 axis through which geroprotectors may enhance the efficacy of NMN supplementation and reduce the risk of age-related diseases, thereby potentiating healthspan in humans.

We describe here a novel design of a fast high-density robotized fiber positioner system for massive spectroscopic surveys. The fiber positioners are compact, robust, and they can be coordinated, allowing for a high spatial density. Furthermore, the high absolute accuracy removes the need for a metrology system and reduces the reconfiguration time. First, we present the requirements for such a high-density fiber positioner system and put them in relation with the science goals. Then, we discuss the positioner design that accomplishes these requirements (including mechanical design, local control electronics board, overall communication solution, and observation sequencing). Finally, the performance of the proposed design is measured using 25 mm pitch prototypes of the positioners, through a dedicated novel designed testbench. The related results show that our prototypes fulfil the requirements particularly in terms of positioning precision (< 20 mu m rms for one single open loop move) and partially in tilt (< 0.15 deg).

Electronically commutated motors (EC-motors) produce a mechanical torque by switching the currents in their stator winding system according to the instantaneous rotor position during rotation. The rotor position is determined by Hall-sensors capturing the magnetic field of the rotor's permanent magnets. In operation the Hall-sensors are exposed not only to the rotor field but also to the field of stator windings. This inevitably leads to a certain commutation angle error (CA-error) and a reduced motor performance. This paper presents a general 3-D magnetic field simulation approach for computing the CA-error and for finding an optimal position of the Hallsensors. The obtained numerical results and their verification by measurements are presented in detail.

This paper presents the rotor design optimization for a reaction sphere (RS) actuator. The RS is a permanent-magnet synchronous spherical actuator whose rotor is magnetically levitated and can be accelerated about any desired axis. The RS is composed of an 8-pole permanent-magnet (PM) spherical rotor and of a 20-coil stator. Due to the highly complex geometry of the spherical rotor, consisting of eight bulk PM poles with truncated spherical shape adjusted on the back-iron structure with truncated octahedral shape, a pure analytical approach for the optimization problem is not practicable. Therefore, given a set of specifications, the optimization of design parameters is performed using finite-element simulations to minimize the rotor magnetic flux density distortion with respect to the fundamental harmonic. The resulting optimized rotor is fully compliant with design specifications. Finally, experimental measurements on the manufactured rotor are reported showing a strong correspondence with the specified flux density values.