綠色推進研究以低毒性推進劑、凝膠燃料、電解／觸媒引燃與小尺度推進測試為核心，重點在分解、點火與反應傳播機制。Green-propulsion research focuses on lower-toxicity propellants, gel fuels, electrolytic/catalytic ignition, and small-scale propulsion tests, with emphasis on decomposition, ignition, and reaction-propagation mechanisms.
以硝酸羥胺（hydroxylammonium nitrate, HAN）水溶液、HAN 凝膠與過氧化氫—煤油凝膠等系統為主要範例，研究熱、觸媒與電解三類分解途徑，以及自燃式點火的反應路徑與時間尺度。本方向長期累積分解產物、壓力—時間特性與點火延遲時間等資料，逐步建立可預測的點火與分解理解。Using systems such as hydroxylammonium nitrate (HAN) aqueous solutions, HAN gels, and hydrogen peroxide–kerosene gels as primary examples, the work studies three classes of decomposition pathways — thermal, catalytic, and electrolytic — together with the reaction pathways and time scales of hypergolic ignition. Decomposition products, pressure–time characteristics, and ignition-delay data are accumulated over time, progressively building toward a predictive understanding of ignition and decomposition.
液態、凝膠與雙凝膠等不同相態及其流變特性，直接影響推進劑的霧化、點火與反應傳播。本方向系統比較凝膠化學（含水量、凝膠骨架材料、膠化方式）對 HAN 與煤油基系統燃燒行為的影響，並進一步建立配方—流變—燃燒之間的對應關係。Phase form (liquid, gel, bi-gel) and rheological characteristics directly influence the atomization, ignition, and reaction propagation of propellants. The work systematically compares the effects of gel chemistry (water content, gellant skeleton, gellation method) on the combustion behavior of HAN- and kerosene-based systems, building toward formulation–rheology–combustion correspondences.
為驗證新型低毒性推進劑的可行性，本方向長期發展電解點火微推進器、離子液推進劑電解／催化複合式點火裝置，以及凝膠推進劑燃燒與霧化測試平台等。未來將整合凝膠推進劑研究與微推進器設計，朝可實際應用於衛星與在軌任務的綠色推進系統推進。To validate new low-toxicity propellants, the work has developed experimental platforms including electrolytic-ignition microthrusters, electrolytic/catalytic hybrid ignition devices for ionic-liquid propellants, and combustion/atomization test rigs for gel propellants. Going forward, gel-propellant research will be integrated with microthruster design, progressing toward green propulsion systems for satellite and in-orbit applications.
以 離子液(HAN、ADN、水溶液或凝膠態)、雙凝膠煤油—過氧化氫等為主要推進劑系統，系統改變 HAN 濃度、膠化劑與凝膠骨架材料、燃料—氧化劑比例、點火方式（熱、觸媒、電解、自燃接觸），以及操作壓力與容器幾何。Ionic liquids (HAN, ADN, aqueous or gels), and bi-gel kerosene–hydrogen peroxide systems serve as the primary propellants, with systematic variation of HAN concentration, gelling agent and gellant skeleton, fuel-to-oxidizer ratio, ignition mode (thermal, catalytic, electrolytic, hypergolic contact), as well as operating pressure and chamber geometry.
推進劑與觸媒製備使用化學合成、凝膠化處理與觸媒裝填技術；測試平台包含高壓容器、電解槽、線性燃速量測台、霧化噴注台與小型推進器測試台；診斷工具則整合傅立葉轉換紅外光譜（Fourier-transform infrared spectroscopy, FTIR）產物氣體分析、高速影像、壓力感測器與流變儀。Propellant and catalyst preparation employs chemical synthesis, gellation processing, and catalyst loading; test platforms include high-pressure vessels, electrolytic cells, linear-burn-rate rigs, atomization injection rigs, and small thruster test stands; diagnostics integrate Fourier-transform infrared spectroscopy (FTIR) product-gas analysis, high-speed imaging, pressure transducers, and rheometers.
從量測資料萃取分解溫度、產物組成、線性燃速、點火延遲時間、壓力—時間歷程與噴霧粒徑分布等指標，並將這些指標與推進劑配方、流變特性與點火方式連結，以判讀分解與點火過程中的限制步驟。本方向目前正進一步結合機器學習建模，逐步建立從配方與操作條件直接預測分解與點火行為的能力。Quantitative metrics — decomposition temperature, product composition, linear burn rate, ignition-delay time, pressure–time history, and spray droplet-size distribution — are extracted from the measurements and linked back to propellant formulation, rheology, and ignition mode to interpret the rate-limiting steps in decomposition and ignition. The work is currently integrating machine-learning modeling to progressively build the capability to predict decomposition and ignition behavior directly from formulation and operating conditions.