Optimal Matching on Driving System of Hydraulic Hybrid Vehicle

Recent advances in the synthesis of indoles from alkynes and nitrogen sources

“…N-Nitrosoanilines and alkynes, in the presence of the rhodium catalyst, were employed in the synthesis of N-alkyl indoles 187, via redox-neutral carbonhydrogen activation and annulation, using a traceless nitroso directing group (Scheme 231). 261,262 The N-nitroso group serves as both a directing group for carbon-hydrogen activation and an internal oxidant for catalyst turnover. The construction of indole derivatives 188 was also successfully described using a nitrone as the oxidizing directing group (Scheme 232).…”

N‐Nitroso As A Novel Directing Group in Transition‐Metal‐Catalyzed C(sp2)−H Bond Functionalizations of N‐Nitrosoanilines

“…This developed protocol is operationally simple compared with the previous one and proceeds via redox-neutral activation of the CÀ H bond strategy without requirement of an additional oxidant or additives (Scheme 19, Condition C). [50] The versatility of the protocol was further certified from the isolation of a series of indole derivatives in moderate to good yields having diverse functional groups. However, the presence of electronwithdrawing substituents on the aryl ring as well as alkyne afforded slightly lower yields of indole derivatives.…”

A Parameter Matching Method of the Parallel Hydraulic Hybrid Excavator Optimized with Genetic Algorithm

“…Although the accumulator was the key component of the PHHE system, the engine was still the main power source which should be chosen firstly to satisfy the average power requirement. From the data of Figure 2, the average power requirement of a 20ton excavator that operated under heavy working condition could be calculated as (14) = 1 ∫ ( ) = 95.8 kw,…”

“…Because the hybrid excavator's working cycles were nonlinear and impossible to describe by some specific formulas, the only things we could know were the parameters we set and the result we measured. By considering these adverse conditions, after comparing the popular optimized algorithms, we chose the genetic algorithm to optimize the accumulator's volume and the engine target speed since the method did not need a precise certain equation for a whole complex system [12][13][14].…”